Artykuły w czasopismach na temat „Robots, Industrial”
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Kootbally, Zeid. "Industrial robot capability models for agile manufacturing". Industrial Robot: An International Journal 43, nr 5 (15.08.2016): 481–94. http://dx.doi.org/10.1108/ir-02-2016-0071.
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Purpose This paper aims to represent a capability model for industrial robot as they pertain to assembly tasks. Design/methodology/approach The architecture of a real kit building application is provided to demonstrate how robot capabilities can be used to fully automate the planning of assembly tasks. Discussion on the planning infrastructure is done with the Planning Domain Definition Language (PDDL) for heterogeneous multi robot systems. Findings The paper describes PDDL domain and problem files that are used by a planner to generate a plan for kitting. Discussion on the plan shows that the best robot is selected to carry out assembly actions. Originality/value The author presents a robot capability model that is intended to be used for helping manufacturers to characterize the different capabilities their robots contribute to help the end user to select the appropriate robots for the appropriate tasks, selecting backup robots during robot’s failures to limit the deterioration of the system’s productivity and the products’ quality and limiting robots’ failures and increasing productivity by providing a tool to manufacturers that outputs a process plan that assigns the best robot to each task needed to accomplish the assembly.
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Ozawa, Mikio, Daiki Kato, Hiroaki Hanai, Toshiki Hirogaki i Eiichi Aoyama. "Skillful Manipulation of Electronic Musical-Note-Type Instrument Using Industrial Humanoid Robot". International Journal of Mechanical Engineering and Robotics Research 13, nr 3 (2024): 325–30. http://dx.doi.org/10.18178/ijmerr.13.3.325-330.
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Industrial robots contribute significantly to productivity improvements, quality improvements, and cost reductions at production sites. Among the industrial robots, those that can cooperate with humans without safety measures or output limitations on the motors of their axes are known as cooperative robots. In the manufacturing field, there is a growing demand for production lines where humans and robots can coexist and cooperate instead of those where robots perform all processes on their own. In this study, we focus on a cooperative robot fabricated using a 3D resin printer and aim to improve its operation using the same tools as humans. As an example of such an application, we attempt to develop a sound-feedback-based motion for manipulating an electronic musical instrument called an “otamatone”. First, the hardware for grasping the object is created using a 3D printer, and notes on the modeling process are described. We then construct an advanced sound feedback system using the Robot Operating System (ROS) to identify the sounding position and pitch of the instrument. In this study, we propose a partial model-matching method for determining the Proportional–Integral–Derivative (PID) gains of the servomotors of each joint of a robot. Consequently, the accuracy of the robot’s motion improves and the accuracy of the intended musical performance is enhanced.
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Sathuluri, Akhil, Anand Vazhapilli Sureshbabu, Jintin Frank, Maximilian Amm i Markus Zimmermann. "Computational Systems Design of Low-Cost Lightweight Robots". Robotics 12, nr 4 (25.06.2023): 91. http://dx.doi.org/10.3390/robotics12040091.
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With the increased demand for customisation, developing task-specific robots for industrial and personal applications has become essential. Collaborative robots are often preferred over conventional industrial robots in human-centred production environments. However, fixed architecture robots lack the ability to adapt to changing user demands, while modular, reconfigurable robots provide a quick and affordable alternative. Standardised robot modules often derive their characteristics from conventional industrial robots, making them expensive and bulky and potentially limiting their wider adoption. To address this issue, the current work proposes a top-down multidisciplinary computational design strategy emphasising the low cost and lightweight attributes of modular robots within two consecutive optimisation problems. The first step employs an informed search strategy to explore the design space of robot modules to identify a low-cost robot architecture and controller. The second step employs dynamics-informed structural optimisation to reduce the robot’s net weight. The proposed methodology is demonstrated on a set of example requirements, illustrating that (1) the robot modules allow exploring non-intuitive robot architectures, (2) the structural mass of the resulting robot is 16 % lower compared to a robot designed using conventional aluminium tubes, and (3) the designed modules ensure the physical feasibility of the robots produced.
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Dumas, Claire, Stéphane Caro, Mehdi Cherif, Sébastien Garnier i Benoît Furet. "Joint stiffness identification of industrial serial robots". Robotica 30, nr 4 (8.08.2011): 649–59. http://dx.doi.org/10.1017/s0263574711000932.
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SUMMARYThis paper presents a new methodology for the joint stiffness identification of industrial serial robots and as consequence for the evaluation of both translational and rotational displacements of the robot's end-effector subject to an external wrench (force and torque). In this paper, the robot's links are supposed to be quite stiffer than the actuated joints as it is usually the case with industrial serial robots. The robustness of the identification method and the sensitivity of the results to measurement errors, and the number of experimental tests are also analyzed. The Kuka KR240-2 robot is used as an illustrative example throughout the paper.
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Bingol, Mustafa Can, i Omur Aydogmus. "Practical application of a safe human-robot interaction software". Industrial Robot: the international journal of robotics research and application 47, nr 3 (16.01.2020): 359–68. http://dx.doi.org/10.1108/ir-09-2019-0180.
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Purpose Because of the increased use of robots in the industry, it has become inevitable for humans and robots to be able to work together. Therefore, human security has become the primary noncompromising factor of joint human and robot operations. For this reason, the purpose of this study was to develop a safe human-robot interaction software based on vision and touch. Design/methodology/approach The software consists of three modules. Firstly, the vision module has two tasks: to determine whether there is a human presence and to measure the distance between the robot and the human within the robot’s working space using convolutional neural networks (CNNs) and depth sensors. Secondly, the touch detection module perceives whether or not a human physically touches the robot within the same work environment using robot axis torques, wavelet packet decomposition algorithm and CNN. Lastly, the robot’s operating speed is adjusted according to hazard levels came from vision and touch module using the robot’s control module. Findings The developed software was tested with an industrial robot manipulator and successful results were obtained with minimal error. Practical implications The success of the developed algorithm was demonstrated in the current study and the algorithm can be used in other industrial robots for safety. Originality/value In this study, a new and practical safety algorithm is proposed and the health of people working with industrial robots is guaranteed.
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Ehrenman, Gayle. "Eyes on the Line". Mechanical Engineering 127, nr 08 (1.08.2005): 25–27. http://dx.doi.org/10.1115/1.2005-aug-2.
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This article discusses vision-enabled robots that are helping factories to keep the production lines rolling, even when the parts are out of place. The automotive industry was one of the earliest to adopt industrial robots, and continues to be one of its biggest users, but now industrial robots are turning up in more unusual factory settings, including pharmaceutical production and packaging, consumer electronics assembly, machine tooling, and food packaging. No current market research is available that breaks down vision-enabled versus blind robot usage. However, all the major industrial robot manufacturers are turning out models that are vision-enabled; one manufacturer said that its entire current line of robots are vision enabled. All it takes to change over the robot system is some fairly basic tooling changes to the robot's end-effector, and some programming changes in the software. The combination of speed, relatively low cost , flexibility, and ease of use that vision-enabled robots offer is making an increasing number of factories consider putting another set of eyes on their lines.
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Karwowski, Waldemar, T. Plank, M. Parsaei i M. Rahimi. "Human Perception of the Maximum Safe Speed of Robot Motions". Proceedings of the Human Factors Society Annual Meeting 31, nr 2 (wrzesień 1987): 186–90. http://dx.doi.org/10.1177/154193128703100211.
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A laboratory experiment was conducted to determine the maximum speeds of robot arm motion considered by the subjects as safe for human operators working in a close proximity of the robot's working envelope. Twenty-nine college students (16 males and 13 females) participated in the study as monitors of the simulated assembly tasks performed by two industrial robots of different size and work capabilities. The results show that the speed selection process depends on the robot's physical size and its initial speed at the start of the adjustment process. Subjects selected higher speeds as “safe” if they were first exposed to the maximum speed of the robot, and significantly lower values when the initial speed of the robot's actions was only 5% of maximum. It was also shown that the subject's previous exposure to robots and the level of their knowledge of industrial robots highly affected their perception of safe speeds of robot motions. Such effects differ, however, between males and females.
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Pytel, Ivan, Oleh Kokoshko i Rostyslav Mastylo. "FACTORS AFFECTING THE ACCURACY AND REPEATABILITY OF INDUSTRIAL ROBOT POSITIONING". Measuring Equipment and Metrology 83, nr 4 (2022): 30–35. http://dx.doi.org/10.23939/istcmtm2022.04.030.
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Industrial robots refer to the most complex products of mechanical engineering and electronic equipment in terms of their labor intensity, accuracy, and a class of manufacture as well as quality requirements. Both static and dynamic positioning inaccuracies occur during their operation. Static positioning depends mainly on such parameters as joint axis geometry and angle offset. Non-geometric parameters include compliance (elasticity of joints and bonds), gear form errors (eccentricity and gear errors), gear backlash, and temperature-related expansion. Dynamic positioning is only relevant for large robots that are subject to high speeds and accelerations. Positioning accuracy is affected by the design features of the robot, the control system, the speed of movement and rotation of the manipulator, temperature, and vibrations, both inherent and caused by the robot's location in production. This research examines the sources of positioning inaccuracy and gives recommendations for improving the positioning characteristics of robots.
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Pinzón Quintero, Camilo Alberto, Ángel Andrés Joya Quintero, Felipe González Roldán i Pedro Fabián Cárdenas Herrera. "Collaborative Pick and Place using industrial robots, simulation and deployment". Visión electrónica 14, nr 1 (31.01.2020): 72–78. http://dx.doi.org/10.14483/22484728.16364.
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In recent times, a fraction of industrial robotics has been oriented to a collaborative approach between different devices to achieve a specific task. This paper describes the simulation and deployment of a metallic beam pick a place process using tow industrial robots. At first, the tool design is presented; it used an electromagnet attached to the robot end effector to lift the load correctly. The communication sequence between the robot's controllers using the digital I/O modules is discussed. The software Robot Studio allowed the process simulation, in which the performance was validated. All the tasks were tested in two ABB IRB 140 industrial robots.
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Batlle, J., i P. Ridao. "Mobile robots in industrial environments". Human Systems Management 18, nr 3-4 (29.12.1999): 275–85. http://dx.doi.org/10.3233/hsm-1999-183-412.
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It is known that mobile robot applications have a preponderant role in industrial and social environments and, more specifically, helping human beings in carrying out difficult tasks in hostile environments. From teleoperated systems to autonomous robots, there is a wide variety of possibilities requiring a high technological level. Many concepts such as perception, manipulator design, grasping, dynamic control, etc. are involved in the field of industrial mobile robots. In this context, human–robot interaction is one of the most widely studied topics over the last few years together with computer vision techniques and virtual reality tools. In all these technical fields, a common goal is pursued, i.e., robots to come closer to human skills. In this paper, first some important research projects and contributions on mobile robots in industrial environments are overviewed. Second, a proposal for classification of mobile robot architectures is described. Third, results achieved in two specific application areas of mobile robotics are reported. The first is related to the tele-operation of a mobile robot called ROGER by means of a TCP/IP network. The control system of the robot is built up as a distributed system, using distributed object oriented software, CORBA compatible. The second is related to the teleoperation of an underwater robot called GARBI. (Research project co-ordinated with the Polytechnic University of Catalonia (Prof. Josep Amat) and financed by the Spanish Government.) The utility of this kind of prototype is demonstrated in tasks such as welding applications in underwater environments, inspection of dammed walls, etc. Finally, an industrial project involving the use of intelligent autonomous robots is presented showing how the experience gained in robotics has been applied.
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Liu, Zizhuo, Junsong Wang, Jiaying Wu i Anqi Xing. "Research and expectation on industrial welding robots". Applied and Computational Engineering 11, nr 1 (25.09.2023): 263–67. http://dx.doi.org/10.54254/2755-2721/11/20230263.
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In the industrial producing field, the robots are gradually replacing the traditional manual works and their development is attracting more and more concern due to their great performance. The welding robot is a kind of typical industrial robot, which has been used in various fields to gradually replace the manual fields because of the advantages like high accuracy, persistent work, and fitness for complex environments. As China is transforming into the industrial powerful country, the demand for industrial welding robots is increasing. It is important to analyse the current development of welding robots. Through the analysis of the current situation of Chinas industrial welding robot industry, this article will introduce the concept of industrial welding robots, analyze the market shares of existing welding robots, summarize the key technologies and conclude the advantages and disadvantages of welding robots, to forecast the future market development of welding robots. This article may provide a reference for the development in future.
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Maulana, Mirza Arif, Reza Nandika, Nur Iksan, Achmad Yani, Ismail Yusuf Panessai i Nurul Akhmal Mohd Zulkefli. "Goods Movement Robot Prototype Design With Wheel Arm System". International Journal of Recent Technology and Applied Science (IJORTAS) 5, nr 1 (7.03.2023): 33–41. http://dx.doi.org/10.36079/lamintang.ijortas-0501.497.
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One of the uses of robotics technology that is developing is in the field of warehousing, with robots transferring vehicle goods used in the industrial world, especially in the warehousing section. The item transfer robot has 2 navigations, namely on the wheeled part, namely the robot can maneuver in all directions without the need to rotate the body of the robot (holonomic robot). Then one of the robots that is used quite often in the industrial world is the arm manipulator. Robots that have a physical shape like a human arm and a degree of freedom (Degree of Freedom). The transfer robot system is controlled remotely using an IoT-based smartphone using the ESP32 Wemos D1 R32 module as the robot's driving brain and ESP32-Cam as the robot's drilling visual. Several robot tests are carried out to ensure that the designed robot can run properly. From the results of functional testing, parts of the robot can run well. The robot can walk through commands from a smartphone, the gripper on the arm manipulator can grasp objects and the ESP32-Cam can display images to the smartphone.
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Li, Zhaolu, Ning Xu, Xiaoli Zhang, Xiafu Peng i Yumin Song. "Motion Control Method of Bionic Robot Dog Based on Vision and Navigation Information". Applied Sciences 13, nr 6 (13.03.2023): 3664. http://dx.doi.org/10.3390/app13063664.
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With the progress and development of AI technology and industrial automation technology, AI robot dogs are widely used in engineering practice to replace human beings in high-precision and tedious industrial operations. Bionic robots easily produce control errors due to the influence of spatial disturbance factors in the process of pose determination. It is necessary to calibrate robots accurately to improve the positioning control accuracy of bionic robots. Therefore, a robust control algorithm for bionic robots based on binocular vision navigation is proposed. An optical CCD binocular vision dynamic tracking system is used to measure the end position and pose parameters of a bionic robot, and the kinematics model of the controlled object is established. Taking the degree of freedom parameter of the robot’s rotating joint as the control constraint parameter, a hierarchical subdimensional space motion planning model of the robot is established. The binocular vision tracking method is used to realize the adaptive correction of the position and posture of the bionic robot and achieve robust control. The simulation results show that the fitting error of the robot’s end position and pose parameters is low, and the dynamic tracking performance is good when the method is used for the position positioning of control of the bionic robot.
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Aghazadeh, Fereydoun, Robert Hirschfeld i Robert Chapleski. "Industrial Robot Use: Survey Results and Hazard Analysis". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, nr 14 (październik 1993): 994–98. http://dx.doi.org/10.1177/154193129303701413.
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Robotic workcells have proliferated in recent years but safety guidance in the area of safety sensing devices has not kept pace. Research investigating current robot use was conducted through safety survey questionnaires returned from 29 robot using corporations across the nation. The research goal was to identify the hazards which workers are exposed to while working near robots. Only 5% of robots were found to have redundant sensing and 40% could not be physically enclosed in barrier perimeters. In addition, personnel were found to enter a robot's work area for 38% of an 8 hour day. Based upon the survey results, a hazard analysis was created to assist in the evaluation of robot workstation safety. The hazard analysis recommends that safety sensors should be integrated in a layered protection system with an external perimeter, an internal workzone area, and a software path monitoring system.
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Bhati, Akshay. "How the Latest Robots (Cobots) are Safely Powering Industrial Growth: What you need to Know". International Journal for Research in Applied Science and Engineering Technology 10, nr 1 (31.01.2022): 1649–55. http://dx.doi.org/10.22214/ijraset.2022.40079.
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Abstract: The main topic of this paper is about the transition of traditional industrial robots to collaborative robots. Firstly, the paper starts with an overview of the types of robots which exist in the industry, then the important part of the paper is described by getting into inner details about the collaborative robot’s functionalities by which the collaborative robots are safe to work alongside human beings. Without such safety features and requirements, it is very dangerous to operate such fast moving robots as it will put the lives of humans at stake. This paper will introduce you to a new generation collaborative robot. In the experiment, TM5-700 is used in collaboration with the sick-nanoScan3 (world’s smallest safety scanner in the market) to comply with higher levels of safety standards needed for the application. Keywords: cobot, safety standards, collaborative, robots, risk assessment.
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Pa, Pai Shan. "Design and Establishment of Platform of Tripedal Industrial Robots". Key Engineering Materials 392-394 (październik 2008): 526–31. http://dx.doi.org/10.4028/www.scientific.net/kem.392-394.526.
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Modern industries use many types of robots. The biped or quadped robots are the most common robots in the robot category. However, in terms of efficiency, flexibility, and stability, the developing tripedal robots could be the best candidate. The research starts from establishing the platform of the tripedal robots. The mathematic model of the tripedal robot is generated by applying the forward kinematics and the inverse kinematics. The research then adopts the MSC Virtual Nastran simulation software to calculate the optimal values applied to the tripedal robots for verification. The major issue is about the balance of the static stability and dynamic stability. The research also tries to develop the most power-saving method and the largest moving steps. The platform of the tripedal robot will become a significant design reference for the commercialization of different industrial robots, and it will provide the design of industrial robots with more options and useful applications.
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Wang, Fuzhe. "Review of the Application Status and Development Trend of Industrial Robots". SHS Web of Conferences 144 (2022): 03005. http://dx.doi.org/10.1051/shsconf/202214403005.
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With the progress of industrial civilization and the development of artificial intelligence technology, industrial robots are gradually approaching production workshop, and their status is improving day by day. This article will describe the current development status of emerging industrial robots and share their future development trends, aiming to provide a theoretical basis for industrial robot design departments and factories. Nowadays, industrial robots are developing rapidly in various countries, and have entered many emerging industries, such as aerospace, military and medical fields. The development trend of industrial robots in the future should mainly focus on five development directions: human-robot collaboration, artificial intelligence, new industrial users, digitization, and smaller and lighter robots.
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Petrenko, Yuri, i Ruslan Posukan. "CRITERIA AND MODEL OF CHOICE OF INDUSTRIAL ROBOT". Bulletin of Kharkov National Automobile and Highway University 1, nr 92 (17.01.2021): 109. http://dx.doi.org/10.30977/bul.2219-5548.2021.92.0.109.
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Problem. The relevance of the work is to increase the efficiency of robotics in Ukraine based on the development of computer technology for the selection of industrial robots for the enterprise, which will improve the quality of robot selection and increase productivity in all industries. Goal. Substantiate the criteria and develop the mathematical model for the selection of an industrial robot. The proposed mathematical model will allow the development of computer technology for the selection of industrial robots for the enterprise. Methodology. This work gives the analysis of the development of robotics in Ukraine, theoretical material on industrial robots, substantiated the criteria for the selection of industrial robots, the developed mathematical model for the selection of robots. Results. The developed criteria and mathematical model of an industrial robot selection allow making scientifically substantiated decisions on the acquisition of an industrial robot by an enterprise according to many criteria. This will reduce the time and cost of making a decision. Originality. Was received further development of making decision methods according to many criteria an was developed the mathematical model of the industrial robot selection. Practical value. The proposed mathematical model will allow the development of computer technology for the selection of industrial robots for the enterprise. This will reduce spent time and money to choose a robot.
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Chuangui, Yang, Mi Liang, Liu Xingbao, Xia Yangqiu, Qiang Teng i Lin Han. "Uncertainty evaluation of measurement of orientation repeatability for industrial robots". Industrial Robot: the international journal of robotics research and application 47, nr 2 (2.01.2020): 207–17. http://dx.doi.org/10.1108/ir-07-2019-0145.
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Purpose This paper aims to propose a reasonable method to evaluate uncertainty of measurement of industrial robots’ orientation repeatability and solve the non-linear problem existing in its evaluation procedure. Design/methodology/approach Firstly, a measurement model of orientation repeatability, based on laser tracker, is established. Secondly, some factors, influencing the measurement result of orientation repeatability, are identified, and their probability distribution functions are modelled. Thirdly, based on Monte Carlo method, an uncertainty evaluation model and algorithm of measurement of industrial robot’s orientation repeatability are built. Finally, an industrial robot is taken as the research object to validate the rationality of proposed method. Findings Results show that the measurement model of orientation repeatability of industrial robot is non-linear, and the proposed method can reasonably and objectively estimate uncertainty of measurement of industrial robots’ orientation repeatability. Originality/value This paper, based on Monte Carlo method and experimental work, proposes an uncertainty evaluation method of measurement of industrial robots’ orientation repeatability which can solve the non-linear problem and provide a reasonable and objective evaluation. And the stochastic ellipsoid approach is firstly taken to model the repeatability of laser tracker. Additionally, this research is beneficial to decide whether the orientation repeatability of the industrial robot meets its requirements.
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Reddy, B. Nithin. "Mechanical Design and Analysis of Six-Degree-of-Freedom (6-DOF) SCARA Robot for Industrial Applications". International Journal for Research in Applied Science and Engineering Technology 12, nr 4 (30.04.2024): 6080–87. http://dx.doi.org/10.22214/ijraset.2024.59008.
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Abstract: A six-degree-of-freedom (6-DOF) SCARA robot is an advanced robotic system capable of moving and manipulating objects in a three-dimensional space with a high degree of precision and flexibility. The term "SCARA" stands for "Selective Compliance Articulated Robot Arm," indicating its design that allows a combination of rigidity and compliance along specific axes. This unique combination of features makes 6-DOF SCARA robots highly versatile and suitable for a wide range of industrial applications. Unlike traditional SCARA robots that typically have four degrees of freedom, the addition of two extra degrees of freedom enhances the 6-DOF SCARA robot's spatial reach and manipulation capabilities. This enables the robot to perform tasks that require complex orientations, intricate movements, and precise positioning within a 3D workspace. The mechanical design, kinematics, and control strategies of these robots are carefully developed to ensure accurate and efficient performance, making them valuable tools in various industries. 6-DOF SCARA robots find applications in numerous industries where precise manipulation, efficient automation, and versatile positioning are crucial.
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Zhang, Haotian. "Classification Of Robots and Industrial and Medical Applications". Highlights in Science, Engineering and Technology 81 (26.01.2024): 655–62. http://dx.doi.org/10.54097/tvdzzc02.
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In the last 100 years, robots have evolved from fantasy to reality. Their design, research, and manufacture require the combination of various subjects such as CS, EEE, ME, AI, and others. The main objective is to replace humans in performing heavy or impossible tasks. Robots are classified into different categories based on their era and usefulness. This thesis will analyze industrial robots in terms of their basic stress conditions and activity scope with four degrees of freedom for the normal robot arm. The system architecture, various field interactions, and structure of mechanical fingers for human-like robot arms will also be analyzed. Additionally, this paper will examine the usefulness of service industry robots and highlight the exoskeleton robot for medical treatment by analyzing the forces, torques, and displacements during the walking of patients with lower limb disabilities. The interaction force between humans and exoskeleton robots will be calculated and a model will be constructed. Finally, some difficulties and possible solutions will be presented.
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Gao, Guan Bin, Jian Lu i Jian Jun Zhou. "Kinematic Modeling for a 6-DOF Industrial Robot". Advanced Materials Research 590 (listopad 2012): 471–74. http://dx.doi.org/10.4028/www.scientific.net/amr.590.471.
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The kinematic model of robots is to describe the nonlinear relationship between the displacement of joints and the position and orientation of the end-effector, which is an important part of robotics. Kinematic model has great influence on the robot’s accuracy and motion control. In this paper, we studied the robot’s kinematic modeling methods and analyzed the characteristics and singularity of traditional DH method. By analyzing and comparing the structural characteristics of a 6-DOF industrial robot a MDH method was chosen to establish kinematic model. From the kinematic model the joint coordinate systems, structural parameters and homogeneous transformation matrixes of the robot are obtained. The kinematic model provides a theoretical basis for the robot motion control, calibration and error compensation.
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Wu, Kai, Jiaquan Li, Huan Zhao i Yong Zhong. "Review of Industrial Robot Stiffness Identification and Modelling". Applied Sciences 12, nr 17 (30.08.2022): 8719. http://dx.doi.org/10.3390/app12178719.
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Due to their high flexibility, large workspace, and high repeatability, industrial robots are widely used in roughing and semifinishing fields. However, their low machining accuracy and low stability limit further development of industrial robots in the machining field, with low stiffness being the most significant factor. The stiffness of industrial robots is affected by the joint deformation, transmission mechanism, friction, environment, and coupling of these factors. Moreover, the stiffness of a robot has a nonlinear distribution throughout the workspace, and external forces during processing cause irregular deviations of the robot, thereby affecting the machining accuracy and surface quality of the workpiece. Many scholars have researched identifying the stiffness of industrial robots and have proposed methods for improving the performance of industrial robots, mainly by optimizing the body structure of the robot and compensating for deformation errors with stiffness models. This paper reviews recent research on the stiffness modelling of industrial robots, which can be broadly classified as finite element analysis (FEA), matrix structure analysis (MSA), and virtual joint modelling (VJM) methods. Each method is studied from three aspects: algorithms, implementation, and limitations. In addition, common measurement techniques have been introduced for measuring deformation. Further research directions are also discussed.
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Gong, Chi, Xianghui Yang, Hongru Tan i Xiaoye Lu. "Industrial Robots, Economic Growth, and Sustainable Development in an Aging Society". Sustainability 15, nr 5 (4.03.2023): 4590. http://dx.doi.org/10.3390/su15054590.
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The impact of industrial robots and aging on economic growth is analyzed using both theoretical and empirical models in this paper. An aging mechanism is integrated into the task model and Solow model, which integrates the existing relationship between industrial robots and economic growth. Our data come from the International Robot Federation, Penn World Table, and the World Bank, and we obtain robot usage data and macroeconomic data for 77 countries and regions between 1993 and 2019. We found that industrial robots can stimulate economic growth, but aging does not affect it. It is worth noting that aging has more adverse effects on economies using industrial robots than economies without industrial robots. Further, according to mechanism analysis, the main channel of economic growth is industrial robots replacing labor, followed by improving total factor productivity (TFP), a measure of technological change in an economy. Given endogenous problems, the results are still stable.
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Moradi Dalvand, Mohsen, i Saeid Nahavandi. "Teleoperation of ABB industrial robots". Industrial Robot: An International Journal 41, nr 3 (13.05.2014): 286–95. http://dx.doi.org/10.1108/ir-09-2013-400.
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Purpose – The purpose of this paper is to analyse teleoperation of an ABB industrial robot with an ABB IRC5 controller. A method to improve motion smoothness and decrease latency using the existing ABB IRC5 robot controller without access to any low-level interface is proposed. Design/methodology/approach – The proposed control algorithm includes a high-level proportional-integral-derivative controller (PID) controller used to dynamically generate reference velocities for different travel ranges of the tool centre point (TCP) of the robot. Communication with the ABB IRC5 controller was performed utilising the ABB PC software development kit. The multitasking feature of the IRC5 controller was used to enhance the communication frequency between the controller and the remote application. Trajectory tracking experiments of a pre-defined three-dimensional trajectory were carried out and the benefits of the proposed algorithm were demonstrated. The robot was intentionally installed on a wobbly table and its vibrations were recorded using a six-degrees-of-freedom force/torque sensor fitted to the tool mounting interface of the robot. The robot vibrations were used as a measure of the smoothness of the tracking movements. Findings – A communication rate of up to 250 Hz between the computer and the controller was established using C# .Net. Experimental results demonstrating the robot TCP, tracking errors and robot vibrations for different control approaches were provided and analysed. It was demonstrated that the proposed approach results in the smoothest motion with tracking errors of < 0.2 mm. Research limitations/implications – The proposed approach may be employed to produce smooth motion for a remotely operated ABB industrial robot with the existing ABB IRC5 controller. However, to achieve high-bandwidth path following, the inherent latency of the controller must be overcome, for example by utilising a low-level interface. It is particularly useful for applications including a large number of short manipulation segments, which is typical in teleoperation applications. Social implications – Using the proposed technique, off-the-shelf industrial robots can be used for research and industrial applications where remote control is required. Originality/value – Although low-level control interface for industrial robots seems to be the ideal long-term solution for teleoperation applications, the proposed remote control technique allows out-of-the-box ABB industrial robots with IRC5 controllers to achieve high efficiency and manipulation smoothness without requirements of any low-level programming interface.
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Zhou, Zhenxiang. "A Study on the Impact of Industrial Robot Development on the Economy A Case Study of China". Advances in Economics, Management and Political Sciences 58, nr 1 (20.11.2023): 121–28. http://dx.doi.org/10.54254/2754-1169/58/20230870.
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The impact of industrial robot development on the economy has long been a subject of keen interest. This research aims to explore the role of industrial robots in the Chinese economy and the factors influencing their impact. This is achieved through an analysis of the scale of the industrial robot market, its applications, the localization process, and its effects on employment and production efficiency. In the course of this study, we review the rapid growth of the Chinese manufacturing sector and the increasing adoption of industrial robots. With technological advancements, industrial robots have achieved significant milestones in fields such as automobile manufacturing and electronics production. Subsequently, this paper delves into the repercussions of industrial robots on the Chinese economy. Data indicates that the widespread use of industrial robots has significantly enhanced production efficiency, lowered production costs, and improved product quality. Furthermore, the paper scrutinizes the progress of domestication in the industrial robot sector, highlighting China's positive strides in enhancing its capacity for independent research and development, as well as manufacturing. Consequently, the rapid development of industrial robots has exerted a multifaceted impact on the Chinese economy, fostering both production efficiency and industrial upgrading, while also giving rise to a series of employment and societal issues. In the future, China should continue to intensify its efforts in technological innovation and talent development to better address the challenges and opportunities arising from the development of industrial robots, thereby promoting sustained and healthy economic growth.
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Schou, Casper, i Ole Madsen. "A plug and produce framework for industrial collaborative robots". International Journal of Advanced Robotic Systems 14, nr 4 (1.07.2017): 172988141771747. http://dx.doi.org/10.1177/1729881417717472.
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Collaborative robots are today ever more interesting in response to the increasing need for agile manufacturing equipment. Contrary to traditional industrial robots, collaborative robots are intended for working in dynamic environments alongside the production staff. To cope with the dynamic environment and workflow, new configuration and control methods are needed compared to those of traditional industrial robots. The new methods should enable shop floor operators to reconfigure the robot. This article presents a plug and produce framework for industrial collaborative robots. The article focuses on the control framework enabling quick and easy exchange of hardware modules as an approach to achieving plug and produce. To solve this, an agent-based system is proposed building on top of the robot operating system. The framework enables robot operating system packages to be adapted into agents and thus supports the software sharing of the robot operating system community. A clear separation of the hardware agents and the higher level task control is achieved through standardization of the functional interface, a standardization maintaining the possibility of specialized function features. A feasibility study demonstrates the validity of the framework through a series of reconfigurations performed on a modular collaborative robot.
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Karnik, Ajit M., i Naresh K. Sinha. "Adaptive control of an industrial robot". Robotica 4, nr 4 (październik 1986): 243–46. http://dx.doi.org/10.1017/s0263574700009929.
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SUMMARYFor the past several years, industrial robots are being used extensively. These robots are generally equipped with relatively simple control systems. Such control systems have proved adequate, but with increased demand on robot performance, there is need for advanced and sophisticated controllers. One of the probelms in the control of robots is that system dynamics change due to several factors such as the orientation of arms and their effective inertia.Adaptive controllers have the advantage that the system is continuously modelled and controller parameters are evaluated on-line, thus resulting in superior performance. Adaptive controllers can be realized in several ways.This paper describes the design and performance of an explicit self tuning regulator for a robot arm.
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Jánoš, Rudolf, i Dobiaš Dominik. "DESIGN OF INDUSTRIAL ROBOT WITH INCREASED LOCOMOTION". TECHNICAL SCIENCES AND TECHNOLOG IES, nr 4 (14) (2018): 95–100. http://dx.doi.org/10.25140/2411-5363-2018-4(14)-95-100.
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Urgency of the research. One of the top trends in the field of mechanical engineering is automation. An inherent part of automation in today's businesses is industrial robots of various categories. In today's industrial production, human and robot are usually separated from each other in order to avoid potential collisions. Continuous development and the growing trend of robotics, in order to increase competitiveness, abandons this individual and isolated robot deployment and prevents group-building of human-robot workplaces. Target setting. The reason for designing industrial robots with capacity around 5-10kg according to human anatomy is that the transition from semi-automated production (operating lines controlled by operators) to fully automated production requires industrial robots that have dimensions similar to human anatomy. Actual scientific researches and issues analysis. The current production of robot devices reaches a high technical level, which is further enhanced by the continued development of their subsystems, but also by the upgrading of functional principles and elements that are involved in the architecture and morphology of these devices. The research objective. To what extent is it possible for the work process to be mechanized or automated depends also on the level of development of the used equipment. In today's development stage, design of automated device is also automated. The statement of basic materials: From the point of view of approaching the design of robots systems means a common sign is a mechatronic approach. Robots technical devices are a typical product with all the features of mechatronics (linking knowledge of engineering, management methods and artificial intelligence). This becomes the starting point for the elaboration of the methods of designing robots at all. Conclusions. This article focuses on the design of the robotics devices, whose main task is to perform the assembly. The future of deploying human-robot collaboration has enormous boundaries and many variables that still need to be addressed. It is important to remember that this technology is not about replacing people with robots. Rather, it is about using robust human features and robot strengths to achieve a new level of efficiency and productivity that could not be achieved by self-employment.
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Iusupova, A. I., V. V. Titov i A. V. Sergeev. "Industrial Robot Remote Control using Virtual Reality Interfaces". Mekhatronika, Avtomatizatsiya, Upravlenie 25, nr 6 (6.06.2024): 306–14. http://dx.doi.org/10.17587/mau.25.306-314.
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Industrial robots performing complex operations often require remote control. The operator must have access to configure the robot behavior, set operations, simulate operation execution before execution, synchronize robot and its digital model state, change the control mode if necessary. Virtual reality interfaces allow to control robots interactively and perform all the operations described above. The article proposes an implementation of a control system based on virtual reality interfaces, which allows real-time control of an industrial robot. The proposed solution has been tested on two robots and includes a universal (iterative) inverse kinematics solver, a trajectory planner, a tasks scheduler, supports work in master-slave and trajectory modes.
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Maurtua, Iñaki, Aitor Ibarguren, Johan Kildal, Loreto Susperregi i Basilio Sierra. "Human–robot collaboration in industrial applications". International Journal of Advanced Robotic Systems 14, nr 4 (1.07.2017): 172988141771601. http://dx.doi.org/10.1177/1729881417716010.
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Human–robot collaboration is a key factor for the development of factories of the future, a space in which humans and robots can work and carry out tasks together. Safety is one of the most critical aspects in this collaborative human–robot paradigm. This article describes the experiments done and results achieved by the authors in the context of the FourByThree project, aiming to measure the trust of workers on fenceless human–robot collaboration in industrial robotic applications as well as to gauge the acceptance of different interaction mechanisms between robots and human beings.
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Zhang, Zijie, i Jing Zeng. "A Review on Development and Application of Industrial Robot". Academic Journal of Science and Technology 2, nr 2 (8.08.2022): 78–81. http://dx.doi.org/10.54097/ajst.v2i2.1165.
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Stability, efficiency and practicality are important characteristics of industrial robots. This also enables it to well assist human beings in carrying out various complex, tedious and dangerous processes. Nowadays, with the changing international situation, the advanced level of industrial robot technology has increasingly become the standard to distinguish the industrial strength gap between big countries. Therefore, it is necessary to analyze the development and application of industrial robots in detail. This paper first summarizes the development status of industrial robots at home and abroad, and introduces the typical applications of industrial robots in different industries. Finally, it makes a prospect for the development of domestic industrial robots.
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OH, SE-YOUNG, WEON-CHANG SHIN i HYO-GYU KIM. "NEURAL NETWORK BASED DYNAMIC CONTROLLERS FOR INDUSTRIAL ROBOTS". International Journal of Neural Systems 06, nr 03 (wrzesień 1995): 257–71. http://dx.doi.org/10.1142/s0129065795000196.
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The industrial robot’s dynamic performance is frequently measured by positioning accuracy at high speeds and a good dynamic controller is essential that can accurately compute robot dynamics at a servo rate high enough to ensure system stability. A real-time dynamic controller for an industrial robot is developed here using neural networks. First, an efficient time-selectable hidden layer architecture has been developed based on system dynamics localized in time, which lends itself to real-time learning and control along with enhanced mapping accuracy. Second, the neural network architecture has also been specially tuned to accommodate servo dynamics. This not only facilitates the system design through reduced sensing requirements for the controller but also enhances the control performance over the control architecture neglecting servo dynamics. Experimental results demonstrate the controller’s excellent learning and control performances compared with a conventional controller and thus has good potential for practical use in industrial robots.
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Zhang, Xiguang. "Analysis of Core Technology Problems and Countermeasures in the Robot Industry". Journal of Electronic Research and Application 5, nr 6 (30.11.2021): 19–24. http://dx.doi.org/10.26689/jera.v5i6.2800.
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Since 2013, China has been the world’s largest market for industrial robots. Despite the gradual maturity of the industrial robot system, the lagging R&D and backward technology level of industrial robots have led to a strong dependence on the import of core components and key technologies, which to a certain extent has restricted the development and improvement of industrial robots. At present, the “neck problem” in the field of industrial robots in China is not only in the reducer, controller, and servo but also in the basic processing equipment, basic technology, and basic materials. In this paper, we propose measures to improve the “neck problem” of industrial robots to promote the high-quality development of industrial robots in China.
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Yahlinskyi, Viktor, Serhii Hutyrуa, Yuriy Khomiak i Viktor Belikov. "GENERALIZED CRITERIA FOR LOADING CAPACITY OF INDUSTRIAL ROBOTS". Bulletin of the National Technical University «KhPI» Series: Engineering and CAD, nr 2 (30.12.2021): 135–42. http://dx.doi.org/10.20998/2079-0775.2021.2.15.
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The analysis of the correspondence of the set of functional indicators of industrial robots to the criteria of criteria similarity conditions is carried out. Using the methods of the theory of dimensions, criteria for the similarity of the functional properties of carrying capacity, speed-action and dynamism of industrial robots in terms of rotational and translational degrees of mobility have been determined. The necessary set of criteria has been created and a concept has been proposed for determining the generalized criterion complexes of the load capacity for modules, aggregates and the entire structure of the robot as a whole using the method of defragmentation and averaging the corresponding criteria by degrees of mobility. The proposed performance criterion makes it possible to compare the performance of a group of robots in terms of three kinematic indicators: speed, acceleration and the range of permissible displacements. For robots of light load capacity, the technical evolution of the considered criterion complexes is presented. It is noticed that with an increase in the reach of the robot, the criterion of load-carrying capacity for all robots decreases. The developed criteria make it possible to assess the speed action and loading capacity of a robot of any design and can be used to determine the technical level of robots and identify reserves for increasing it. Key words: degrees of mobility; manipulation system; homogeneous functions; dynamic parameters
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Zhou, Guanghong. "Human-Machine Cooperation and Path Planning for Complex Road Conditions". Scientific Programming 2021 (6.07.2021): 1–11. http://dx.doi.org/10.1155/2021/7262281.
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With the rapid development of the information age, the development of industrial robots is also advancing by leaps and bounds. In the scenes of automobile, medicine, aerospace, and public service, we have fully enjoyed the convenience brought by industrial robots. However, with the continuous development of industrial robot-related concepts and technologies, human-computer interaction and cooperation have become the development trend of industrial robot. In this paper, the human-machine cooperation and path optimization of industrial robot in a complex road environment are studied and analyzed. At the theoretical modeling level, firstly, the industrial robot is modeled and obstacle avoidance is analyzed based on the kinematics of industrial robot; thus, an efficient and concise collision detection model of industrial robot is proposed. At the algorithm level, in view of the complex road conditions faced by industrial robots, this paper will study and analyze the obstacle avoidance strategy of human-computer cooperation and real-time path optimization algorithm of industrial robots. Based on the virtual target point algorithm, this paper further improves the problem that the goal of the traditional path planning algorithm cannot be fully covered, so as to propose the corresponding improved path planning algorithm of industrial robots. In the experimental part, based on the existing industrial robot system, the human-machine cooperation and path planning system proposed in this paper are designed. The experimental results show that the algorithm proposed in this paper improves the accuracy of obstacle avoidance by about 10 points and the corresponding convergence speed by about 5% compared with the traditional algorithm and the experimental effect is remarkable.
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Çiğdem, Şemsettin, Ieva Meidute-Kavaliauskiene i Bülent Yıldız. "Industry 4.0 and Industrial Robots: A Study from the Perspective of Manufacturing Company Employees". Logistics 7, nr 1 (15.03.2023): 17. http://dx.doi.org/10.3390/logistics7010017.
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Background: Human–robot collaboration is essential for efficient manufacturing and logistics as robots are increasingly used. Using industrial robots as part of an automation system results in many competitive benefits, including improved quality, efficiency, productivity, and reduced waste and errors. When robots are used in production, human coworkers’ psychological factors can disrupt operations. This study aims to examine the effect of employees’ negative attitudes toward robots on their acceptance of robot technology in manufacturing workplaces. Methods: A survey was conducted with employees in manufacturing companies to collect data on their attitudes towards robots and their willingness to work with them. Data was collected from 499 factory workers in Istanbul using a convenience sampling method, which allowed for the measurement of variables and the analysis of their effects on each other. To analyze the data, structural equation modeling was used. Results: The results indicate that negative attitudes towards robots have a significant negative effect on the acceptance of robot technology in manufacturing workplaces. However, trust in robots was found to be a positive predictor of acceptance. Conclusions: These findings have important implications for manufacturing companies seeking to integrate robot technology into their operations. Addressing employees’ negative attitudes towards robots and building trust in robot technology can increase the acceptance of robots in manufacturing workplaces, leading to improved efficiency and productivity.
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Pytel, Ivan, Maksym Vasylyk i Jaroslaw Makal. "CALIBRATION METHODS OF INDUSTRIAL ROBOTS". Measuring Equipment and Metrology 85, nr 1 (2024): 35–41. http://dx.doi.org/10.23939/istcmtm2024.01.035.
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Robotization is one of the crucial directions of modernizing today's industrial production. Robotic systems offer solutions to many different challenges. However, their implementation is constrained by limited accuracy, which is inferior to conventional machine tools. A way to improve industrial robots' accuracy is to calibrate them, i.e., eliminate factors that affect accuracy by refining the mathematical models for software correction of manufacturing and assembly errors, as well as elastic and thermal deformations.
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Tao, Yong, Haitao Liu, Shuo Chen, Jiangbo Lan, Qi Qi i Wenlei Xiao. "An Off-Line Error Compensation Method for Absolute Positioning Accuracy of Industrial Robots Based on Differential Evolution and Deep Belief Networks". Electronics 12, nr 17 (2.09.2023): 3718. http://dx.doi.org/10.3390/electronics12173718.
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Industrial robots have been increasingly used in the field of intelligent manufacturing. The low absolute positioning accuracy of industrial robots is one of the difficulties in their application. In this paper, an accuracy compensation algorithm for the absolute positioning of industrial robots is proposed based on deep belief networks using an off-line compensation method. A differential evolution algorithm is presented to optimize the networks. Combined with the evidence theory, a position error mapping model is proposed to realize the absolute positioning accuracy compensation of industrial robots. Experiments were conducted using a laser tracker AT901-B on an industrial robot KR6_R700 sixx_CR. The absolute position error of the end of the robot was reduced from 0.469 mm to 0.084 mm, improving the accuracy by 82.14% after the compensation. Experimental results demonstrated that the proposed compensation algorithm could improve the absolute positioning accuracy of industrial robots, as well as its potential uses for precise operational tasks.
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Zhang, Zhaozhong, i Fangfang Deng. "How can artificial intelligence boost firms’ exports? evidence from China". PLOS ONE 18, nr 8 (23.08.2023): e0283230. http://dx.doi.org/10.1371/journal.pone.0283230.
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This paper explores the impact of artificial intelligence and industrial robots on firms’ export behaviour and divides the impact mechanism into the productivity effect and labour substitution effect. It examines the effect of industrial robots on firms’ export value by using Chinese Customs data, Chinese Industrial Firm data and robot data from the International Robot Federation (IRF). The main findings are as follows: Firstly, the impact of artificial intelligence and industrial robots on Chinese firms’ export value is generally negative, which means the negative labour substitution effect dominates the positive productivity effect. Secondly, the impact of artificial intelligence varies significantly by industry, and the export value of firms from high-tech industries benefits from the use of industrial robots. Thirdly, the impact of artificial intelligence on firms’ export value also varies by time; before 2003, the use of industrial robots showed mainly an inhibiting effect on firms’ exports, which turned into a driving effect thereafter, and after 2006, industrial robots began to significantly promote firms’ export. Finally, the higher the quality of export products, the more likely the use of industrial robots will be to promote firms’ export value, and the higher the capital–labour ratio is, the more likely firms’ export value will be to benefit from the use of artificial intelligence and industrial robots. On the basis of these findings, this study proposes promoting the productivity effect to dominate the labour substitution effect through technological progress and the improvement of export product quality.
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Uchiyama, Naoki, Shigenori Sano i Akihiro Yamamoto. "Sound source tracking considering obstacle avoidance for a mobile robot". Robotica 28, nr 7 (18.01.2010): 1057–64. http://dx.doi.org/10.1017/s0263574709990919.
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SUMMARYSound source tracking is an important function for autonomous robots, because sound is omni-directional and can be recognized in dark environment. This paper presents a new approach to sound source tracking for mobile robots using auditory sensors. We consider a general type of two-wheeled mobile robot that has wide industrial applications. Because obstacle avoidance is also an indispensable function for autonomous mobile robots, the robot is equipped with distance sensors to detect obstacles in real time. To deal with the robot's nonholonomic constraint and combine information from the auditory and distance sensors, we propose a model reference control approach in which the robot follows a desired trajectory generated by a reference model. The effectiveness of the proposed method is confirmed by experiments in which the robot is expected to approach a sound source while avoiding obstacles.
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Roesler, Eileen, Linda Onnasch i Julia I. Majer. "The Effect of Anthropomorphism and Failure Comprehensibility on Human-Robot Trust". Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, nr 1 (grudzień 2020): 107–11. http://dx.doi.org/10.1177/1071181320641028.
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The application of anthropomorphic features to robots is generally considered to be beneficial for human- robot interaction. Although previous research has mainly focused on social robots, the phenomenon gains increasing attention in industrial human-robot interaction, as well. In this study, the impact of anthropomorphic design of a collaborative industrial robot on the dynamics of trust is examined. Participants interacted with a robot, which was either anthropomorphically or technically designed and experienced either a comprehensible or an incomprehensible fault of the robot. Unexpectedly, the robot was perceived as less reliable in the anthropomorphic condition. Additionally, trust increased after faultless experience and decreased after failure experience independently of the type of error. Even though the manipulation of the design did not result in a different perception of the robot’s anthropomorphism, it still influenced the formation of trust. The results emphasize that anthropomorphism is no universal remedy to increase trust, but highly context dependent.
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Xu, Ling Ping, i Chang Dong Wang. "Preparation of Control Programs for Material Handling Robot". Applied Mechanics and Materials 602-605 (sierpień 2014): 1019–22. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1019.
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With more and more industrial robots used in machinery manufacturing enterprises, mechatronics career groups have also put forward higher requirements for vocational students to become familiar with industrial robots. This paper takes handling robots as an example to introduce how to prepare the robot programs for certain tasks and how to use robots to complete the tasks.
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LITSIN, K. V., i YA V. MAKAROV. "DEVELOPMENT OF A DIGITAL TWIN OF MOTOMAN MH-50 INDUCTRIAL ROBOT-MANIPULATOR FOR WELDING OPERATIONS OF COMPLEX STRUCTURES". Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information 78, nr 6 (29.07.2022): 522–28. http://dx.doi.org/10.32339/0135-5910-2022-6-522-528.
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At the present time automatic welding machines are used for welding operations in the production of electric-welded pipes. However, industrial robots are used when welding complex structures consist of pipes of different diameters and bending radius. Unlike welding machines, robots move according to a set coordinate, thus making it possible to obtain welding constructions that “classical” welding machines are not able to perform or require considerable time for their readjustment. Moreover, welding robots-manipulators can perform additional operations: pre-cleaning of the joint, weld preparation and cleaning from dirt. Methods of setting (setting coordinates) of welding robots-manipulators are considered. It was noted that when making settings on the robot's panel it is necessary to stop the technological process, therefore a more rational way is the preliminary imitation of the welding process by using a digital twin of an industrial robot. Using of digital twins of robots-manipulators is often connected with serious financial expenses, therefore development on the basis of the simplified mathematical model of the digital twin is actual, that allows fulfilling the technological process of welding of new kinds of difficult designs by virtual way. Here is a description of a digital twin of an industrial robot-manipulator Yaskawa Motoman MH50-35, developed in Matlab Simulink environment. The main task of developing the digital twin was to create a system of automatic control of the rotation angle on the basis of the position regulator. The elaborated digital twin was tested; the accuracy of processing the wrist rotation assignment is +-0.0001 rad, there is no position overshoot, and the time of a full wrist revolution reaches 1.07 s. The possibility has been shown to use the developed twin as a digital twin of an industrial welding robot taking into account the accepted assumptions.
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Zhao, Yantong, Rusmawati Said, Normaz Wana Ismail i Hanny Zurina Hamzah. "Effect of Industrial Robots on Employment in China: An Industry Level Analysis". Computational Intelligence and Neuroscience 2022 (18.07.2022): 1–13. http://dx.doi.org/10.1155/2022/2267237.
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China has been the world’s largest market for industrial robots since 2013. Industrial robots improve accuracy, safety, and efficiency in industrial production but have a substantial impact on the labor market. This investigation uses the task-based model to explore the relationship between industrial robots and employment across industries. This study uses industrial robot data from the International Federation of Robotics and employment data from the China Statistical Yearbook from 2010 to 2019 to examine robot applications’ influencing mechanisms on labor demand in different industries in China. The results show a significant positive correlation between robots’ exposure and labor demand for IT, health and social services, science research and technical services, and management of water conservancy and environmental industries. Based on the results, the use of robots promotes high-skilled talent employment and some third-sector employment, like education, food and beverages, utilities, household appliances, and transport. However, multiple regression analysis reveals that the use of robots has reduced employment in traditional industries such as agriculture and mining.
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Makulavičius, Mantas, Sigitas Petkevičius, Justė Rožėnė, Andrius Dzedzickis i Vytautas Bučinskas. "Industrial Robots in Mechanical Machining: Perspectives and Limitations". Robotics 12, nr 6 (24.11.2023): 160. http://dx.doi.org/10.3390/robotics12060160.
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Recently, the need to produce from soft materials or components in extra-large sizes has appeared, requiring special solutions that are affordable using industrial robots. Industrial robots are suitable for such tasks due to their flexibility, accuracy, and consistency in machining operations. However, robot implementation faces some limitations, such as a huge variety of materials and tools, low adaptability to environmental changes, flexibility issues, a complicated tool path preparation process, and challenges in quality control. Industrial robotics applications include cutting, milling, drilling, and grinding procedures on various materials, including metal, plastics, and wood. Advanced robotics technologies involve the latest advances in robotics, including integrating sophisticated control systems, sensors, data fusion techniques, and machine learning algorithms. These innovations enable robots to adapt better and interact with their environment, ultimately increasing their accuracy. The main focus of this study is to cover the most common industrial robotic machining processes and to identify how specific advanced technologies can improve their performance. In most of the studied literature, the primary research objective across all operations is to enhance the stiffness of the robotic arm’s structure. Some publications propose approaches for planning the robot’s posture or tool orientation. In contrast, others focus on optimizing machining parameters through the utilization of advanced control and computation, including machine learning methods with the integration of collected sensor data.
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Gu, Lihua. "The Impact of Intelligent Manufacturing on Export Sophistication: Evidence from Industrial Robots". International Journal of Business and Management 14, nr 12 (13.11.2019): 183. http://dx.doi.org/10.5539/ijbm.v14n12p183.
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We analyze the relationship between intelligent manufacturing and export sophistication from the perspective of industrial robots. We use industrial robot panel data from International Federation of Robotics in 70 countries from 1995 to 2016. Our empirical research shows that if a country increases 1% of industrial robots in production process, export sophistication will increase 0.0036%. The result is very robust when we use two kind of proxy variables. And we also find that financial crisis depresses the effect of industrial robots on export sophistication. Our estimates suggest that intelligent manufacturing is a way to realize export upgrading in the background of a new industrial revolution. Countries without producing any industrial robots can import some robots from other countries to increase export sophistication.
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Tao, Liu. "Application Market of Industrial Robot in China". Applied Science and Innovative Research 7, nr 1 (27.02.2023): p77. http://dx.doi.org/10.22158/asir.v7n1p77.
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Robotics is a programmable mechanical system with a certain autonomy that can exercise in its environment and complete some prescribed tasks. Although industrial robots are robots, they mainly provide duplicate, large quantities, and standard services. Therefore, they also have a certain standardized requirements for the materials and semi -finished products. In addition, because industrial robots are not intelligent enough, the processing of fuzzy range can only be operated according to procedures. For example, when the screen has a small bump, the robot may judge that it cannot be operated, but if it is artificially determined, it can continue to be processed and sold. Even if the development of machine vision can solve these problems to a certain extent, non -standardized operations will reduce efficiency accordingly. Industrial robots can not only achieve simple processes such as handling, but also technically some complex processes can be achieved. However, for the consideration of cost and benefits, most industrial robot manufacturers will not choose to produce such products. Because such demand is not large enough, and the profit margin is not considerable enough.
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Ramsli, Einar. "Probability Distribution of Repeatability of Industrial Robots". International Journal of Robotics Research 10, nr 3 (czerwiec 1991): 276–83. http://dx.doi.org/10.1177/027836499101000308.
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The accuracy with which an industrial robot brings the load to a position and holds it there is perhaps the most important characteristic of an industrial robot. Many researchers have consequently been interested in this field during recent years. A common method for characterizing an industrial robot's ability to return to a position is to use the terms "accuracy" and "repeatability, " where accuracy characterizes the degree to which the actual measured value corresponds to a com manded value and repeatability the closeness of agreement between repeated measured values, under the same condi tions, to the same commanded value (ISO definitions). The normal approximation is regularly used when calculating the repeatability. A test on this assumption for six different industrial robots is reported in this article. Two approaches for this test are used: one looks at the shape of the frequency function for the repeatability figures measured, and the second uses a chi square test on the six data sets. The different tests show that there are small chances that the deviation of an industrial robot will follow a normal distribution. It seems to be a trend that the deviation has longer tails than the normal distribution. Simulation is used to elaborate on the consequences of the invalid assumption of normality in the definition of repeat ability. The conclusion is that it is reasonable to use the normal approximation when there is no strong evidence that the deviation distribution is negatively skewed.
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Hijikata, Masaaki, Renato Miyagusuku i Koichi Ozaki. "Wheel Arrangement of Four Omni Wheel Mobile Robot for Compactness". Applied Sciences 12, nr 12 (7.06.2022): 5798. http://dx.doi.org/10.3390/app12125798.
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Compact omnidirectional mobile robots are required to automate transportation of raw materials, products, etc. within an industrial plant. This paper focuses on omni wheel robots with low vibration and wheel arrangements that contribute to compactness. Due to its wheels’ configuration, our proposed compact robot may have different sensitivity to noise (controller) and different performance (errors) when following a predetermined path, compared to conventional ones. Using a simple DC motor, a robot with the proposed arrangement and a conventional robot run along a predetermined path. A linear–quadratic regulator that is processed lightly is used to control the robots for practicality. As a result, the robot’s trajectory in the proposed arrangement showed a distortion different from that of the conventional type. The distortion of the trajectory was attributed to the inability of the DC motor to rotate stably at low speed. The different distortions exhibited suggest that the wheel arrangement changes the effect of imperfect control on the robot’s motion. In addition, the proposed arrangement showed the possibility of being suitable for a transport robot because the wheels are placed in the four corners of the robot, facing forward, backward, left, and right.