Relevant bibliographies by topics / Autonomous robot system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomous robot system'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Autonomous robot system"

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Ishihara, Hidenori, and Toshio Fukuda. "Micro Autonomous Robotic System." Journal of Robotics and Mechatronics 11, no. 5 (October 20, 1999): 443–47. http://dx.doi.org/10.20965/jrm.1999.p0443.

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Miniaturized autonomous robots have been developed by several research groups. The miniaturized autonomous robot is defined as a miniaturized closed-loop system with microprocessors, microactuators, and microsensors. We developed a micro autonomous robot (MARS) consisting of a microprocessor, microsensors, microactuators, communication units, and batteries. MARS controls itself by a downloaded program supplied through infrared communication. We demonstrate performance of MARS, and discuss system features.
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Muda, Nur Rachman Supadmana, Nugraha Gumilar, R. Djoko Andreas Navalino, Tirton N, and M. Iman Hidayat. "Implementation of Autonomous Control System of The Chain Wheel Robot Using the Backpropagation Artificial Neural Network (ANN) Methods." Volume 5 - 2020, Issue 8 - August 5, no. 8 (September 8, 2020): 1230–35. http://dx.doi.org/10.38124/ijisrt20aug688.

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The purpose of this research is to implement the Artificial Neural Network (ANN) method in combat robots so it can be directed to shoot targets well. The robot control system uses remote control and autonomous. In the autonomous robot system, ANN back propagation method is applied, where the weight value variable depends on ultrasonic sensor, GPS and camera. The microcontroller system will process automatically depending on the sensor input. Output data is used to direct the robot to the target, tracking and shooting. Robot is used chain wheel systems and weapons that used pistol types. The riffle is mounted on the robot can be moved mechanically azimuth and the elevation towards the target then triggered mechanically by the riffle through the activation of data relays from the microcontroller. Thus, the backpropagation method can be applied to robots so it can be functioned autonomously.
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Han, Dong Qi, and Jin Li. "Design of Cleaning Robot Autonomous Charging System." Advanced Materials Research 722 (July 2013): 497–502. http://dx.doi.org/10.4028/www.scientific.net/amr.722.497.

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A system of cleaning robots independent charge containing hardware system and software system is designed. The hardware circuit of charging station includes a power supply circuit, the battery constant current charging circuit of charging current which can be regulated by the hardware and software, position coding signal transmitting circuit. This paper also presents a new independent charging algorithm that the robot can search automatically charging station using the random walk model in unknown environment, so that the robot have the ability to find independently the charging station. The results show that the cleaning robot can complete automatic charging, and the success rate is 100%.
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BARNES, NICK, and ZHI-QIANG LIU. "VISION GUIDED CIRCUMNAVIGATING AUTONOMOUS ROBOTS." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 06 (September 2000): 689–714. http://dx.doi.org/10.1142/s0218001400000489.

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We present a system for vision guided autonomous circumnavigation, allowing a mobile robot to navigate safely around objects of arbitrary pose, and avoid obstacles. The system performs model-based object recognition from an intensity image. By enabling robots to recognize and navigate with respect to particular objects, this system empowers robots to perform deterministic actions on specific objects, rather than general exploration and navigation as emphasized in much of the current literature. This paper describes a fully integrated system, and, in particular, introduces canonical-views. Further, we derive a direct algebraic method for finding object pose and position for the four-dimensional case of a ground-based robot with uncalibrated vertical movement of its camera. Vision for mobile robots can be treated as a very different problem to traditional computer vision, as mobile robots have a characteristic perspective, and there is a causal relation between robot actions and view changes. Canonical-views are a novel, active object representation designed specifically to take advantage of the constraints of the robot navigation problem to allow efficient recognition and navigation.
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Sun, Jifeng, Tadashi Nagata, and Kenji Kurosu. "Cooperative Behavior of a Schedule-Based Distributed Autonomous Robotic System." Journal of Robotics and Mechatronics 6, no. 2 (April 20, 1994): 162–68. http://dx.doi.org/10.20965/jrm.1994.p0162.

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A scheduling method for distributed autonomous robotic systems (DRS) is proposed. Given the global task for a DRS, each robot generates a subtask according to the global load of the whole system and the partial capacity of individual robots. The determined schedule is then executed by a sign-board inter-robot communication. Some experiments of a three-robot system are performed using the proposed method.
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BESSEGHIEUR, Khadir, Wojciech KACZMAREK, and Jarosław PANASIUK. "Multi-robot Control via Smart Phone and Navigation in Robot Operating System." Problems of Mechatronics Armament Aviation Safety Engineering 8, no. 4 (December 30, 2017): 37–46. http://dx.doi.org/10.5604/01.3001.0010.7316.

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Robot Operating System (ROS) is an open source robot software framework which provides several libraries and tools to easily conduct different robot applications like autonomous navigation and robot teleoperation. Most of the available packages across the ROS community are addressed for controlling a single robot. In this paper, we aim to extend some packages so, they can be used in multi-robot applications on ROS. Mainly, the multi-robot autonomous navigation and multi-robot smart phone teleoperation are addressed in this work. After being extended and compiled, the new packages are assessed in some simulations and experiments with real robots.
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Okina, Shinnosuke, Kuniaki Kawabata, Teruo Fujii, Yasuharu Kunii, Hajime Asama, and Isao Endo. "Self-diagnosis System of an Autonomous Mobile Robot Using Sensory Information." Journal of Robotics and Mechatronics 12, no. 2 (April 20, 2000): 72–77. http://dx.doi.org/10.20965/jrm.2000.p0072.

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In this paper, we describe a basic sensing system for self-diagnosing an autonomous mobile robot. In recent years, many researches on intelligent robots and systems have been done. But, when such robots and systems work in the real environment, it is important for those robots and systems to have the ability to recognize their own conditions for detecting faults. On the point of view, we should consider pay more attention to diagnose in such intelligent systems. Therefore we try to construct an internal sensing system as a self-diagnosis system on a real robot. Especially, in this paper, we discuss about motor system of an autonomous omnidirectional mobile robot, which was developed in RIKEN. The self-diagnosis system consists of multiple sensors, which are voltage, current, encoder, and magnetic sensors. We show some diagnosing experimental results using the real system. From the results, we could collect basic data for fault detection of the system.
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Valliappan, Karthik C*, and Vikram R. "Autonomous Indoor Navigation for Mobile Robots." Regular issue 10, no. 7 (May 30, 2021): 122–26. http://dx.doi.org/10.35940/ijitee.g9038.0510721.

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An autonomous navigation system for a robot is key for it to be self-reliant in any given environment. Precise navigation and localization of robots will minimize the need for guided work areas specifically designed for the utilization of robots. The existing solution for autonomous navigation is very expensive restricting its implementation to satisfy a wide variety of applications for robots. This project aims to develop a low-cost methodology for complete autonomous navigation and localization of the robot. For localization, the robot is equipped with an image sensor that captures reference points in its field of view. When the robot moves, the change in robot position is estimated by calculating the shift in the location of the initially captured reference point. Using the onboard proximity sensors, the robot generates a map of all the accessible areas in its domain which is then used for generating a path to the desired location. The robot uses the generated path to navigate while simultaneously avoiding any obstacles in its path to arrive at the desired location.
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Noritsugu, Toshiro, and Hiroyuki Inoue. "Cooperative Control of Human-Robot System Using Fuzzy Reasoning." Journal of Robotics and Mechatronics 7, no. 1 (February 20, 1995): 69–74. http://dx.doi.org/10.20965/jrm.1995.p0069.

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The present autonomous control robots are technically difficult to introduce into unknown working environments. A cooperative control approach between human and robot may be an effective approach for complex and uncertain tasks. This study develops a new cooperative control approach between human and robot by using a fuzzy reasoning and handles force control under the uncertain working environments. The proposed control approach can achieve three control modes: manual, cooperative, and autonomous control, one of which can be automatically chosen by the operator through fuzzy reasoning. Fuzzy reasoning receives two inputs from the operator and the robot. By introducing the fuzzy reasoning, the various human skills can be introduced into cooperative control and can integrate an intuitive human control and a precise autonomous robot control. Some contacting tasks are executed for various object walls using a two-degrees of freedom Cartesian robot. The results indicate the availability of the proposed control approach.
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Rahmadian, Reza, and Mahendra Widyartono. "Harvesting System for Autonomous Robotic in Agriculture: A Review." INAJEEE Indonesian Journal of Electrical and Eletronics Engineering 2, no. 1 (May 23, 2019): 1. http://dx.doi.org/10.26740/inajeee.v2n1.p1-6.

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Technology in the modern day has led to the development of agricultural robots that helps to increase the agriculture productivity. Numerous research has been conducted to help increasing the capability of the robot in assisting agricultural operation, which leads to development of autonomous robot. The development aim is to help reducing agriculture’s dependency on operators, workers, also reducing the inaccuracy caused by human errors. There are two important development components for autonomous harvesting. The first component is Machine vision for detecting the crops and guiding the robot through the field and the second component actuator to grab or picking the crops or fruits.
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Dissertations / Theses on the topic "Autonomous robot system"

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McNeal, William B. "Simulation of the autonomous combat systems robot optical detection system." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1997. http://handle.dtic.mil/100.2/ADA342228.

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Thesis (M.S. in Applied Physics) Naval Postgraduate School, December 1997.
"December 1997." Thesis advisor(s): Gordon Schacher, Donald Brutzman. Includes bibliographical references (p. 131). Also available online.
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Kurita, Hiroki. "AUTONOMOUS UNLOADING SYSTEM FOR HEAD-FEEDING COMBINE ROBOT." Kyoto University, 2013. http://hdl.handle.net/2433/180370.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(農学)
甲第17832号
農博第2017号
新制||農||1016(附属図書館)
学位論文||H25||N4789(農学部図書室)
30647
京都大学大学院農学研究科地域環境科学専攻
(主査)教授 飯田 訓久, 教授 近藤 直, 教授 清水 浩
学位規則第4条第1項該当
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Vaughan, Richard. "Experiments in animal-interactive robotics." Thesis, University of Oxford, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.325617.

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Mikhalsky, Maxim. "Efficient biomorphic vision for autonomous mobile robots." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16206/.

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Autonomy is the most enabling and the least developed robot capability. A mobile robot is autonomous if capable of independently attaining its objectives in unpredictable environment. This requires interaction with the environment by sensing, assessing, and responding to events. Such interaction has not been achieved. The core problem consists in limited understanding of robot autonomy and its aspects, and is exacerbated by the limited resources available in a small autonomous mobile robot such as energy, information, and space. This thesis describes an efficient biomorphic visual capability that can provide purposeful interaction with environment for a small autonomous mobile robot. The method used for achieving this capability comprises synthesis of an integral paradigm of a purposeful autonomous mobile robot, formulation of requirements for the visual capability, and development of efficient algorithmic and technological solutions. The paradigm is a product of analysis of fundamental aspects of the problem, and the insights found in inherently autonomous biological organisms. Based on this paradigm, analysis of the biological vision and the available technological basis, and the state-of-the-art in vision algorithms, the requirements were formulated for a biomorphic visual capability that provides the situation awareness capability for a small autonomous mobile robot. The developed visual capability is comprised of a sensory and processing architecture, an integral set of motion vision algorithms, and a method for visual ranging of still objects that is based on them. These vision algorithms provide motion detection, fixation, and tracking functionality with low latency and computational complexity. High temporal resolution of CMOS imagers is exploited for reducing the logical complexity of image analysis, and consequently the computational complexity of the algorithms. The structure of the developed algorithms conforms to the arithmetic and memory resources available in a system on a programmable chip (SoPC), which allows complete confinement of the high-bandwidth datapath within a SoPC device and therefore high-speed operation by design. The algorithms proved to be functional, which validates the developed visual capability. The experiments confirm that high temporal resolution imaging simplifies image motion structure, and ultimately the design of the robot vision system.
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Hughes, Bradley Evan. "A Navigation Subsystem for an Autonomous Robot Lawn Mower." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1312391797.

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Cowling, Michael, and n/a. "Non-Speech Environmental Sound Classification System for Autonomous Surveillance." Griffith University. School of Information Technology, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040428.152425.

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Sound is one of a human beings most important senses. After vision, it is the sense most used to gather information about the environment. Despite this, comparatively little research has been done into the field of sound recognition. The research that has been done mainly centres around the recognition of speech and music. Our auditory environment is made up of many sounds other than speech and music. This sound information can be taped into for the benefit of specific applications such as security systems. Currently, most researchers are ignoring this sound information. This thesis investigates techniques to recognise environmental non-speech sounds and their direction, with the purpose of using these techniques in an autonomous mobile surveillance robot. It also presents advanced methods to improve the accuracy and efficiency of these techniques. Initially, this report presents an extensive literature survey, looking at the few existing techniques for non-speech environmental sound recognition. This survey also, by necessity, investigates existing techniques used for sound recognition in speech and music. It also examines techniques used for direction detection of sounds. The techniques that have been identified are then comprehensively compared to determine the most appropriate techniques for non-speech sound recognition. A comprehensive comparison is performed using non-speech sounds and several runs are performed to ensure accuracy. These techniques are then ranked based on their effectiveness. The best technique is found to be either Continuous Wavelet Transform feature extraction with Dynamic Time Warping or Mel-Frequency Cepstral Coefficients with Dynamic Time Warping. Both of these techniques achieve a 70% recognition rate. Once the best of the existing classification techniques is identified, the problem of uncountable sounds in the environment can be addressed. Unlike speech recognition, non-speech sound recognition requires recognition from a much wider library of sounds. Due to this near-infinite set of example sounds, the characteristics and complexity of non-speech sound recognition techniques increases. To address this problem, a systematic scheme needs to be developed for non-speech sound classification. Several different approaches are examined. Included is a new design for an environmental sound taxonomy based on an environmental sound alphabet. This taxonomy works over three levels and classifies sounds based on their physical characteristics. Its performance is compared with a technique that generates a structured tree automatically. These structured techniques are compared for different data sets and results are analysed. Comparable results are achieved for these techniques with the same data set as previously used. In addition, the results and greater information from these experiments is used to infer some information about the structure of environmental sounds in general. Finally, conclusions are drawn on both sets of techniques and areas of future research stemming from this thesis are explored.
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Hung, David, Cinthya Tang, Coby Allred, Kennon McKeever, James Murphy, and Ricky Herriman. "AUTONOMOUS GROUND RECONNAISSANCE DRONE USING ROBOT OPERATING SYSTEM (ROS)." International Foundation for Telemetering, 2017. http://hdl.handle.net/10150/627005.

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The Arizona Autonomous Club is a student organization at the University of Arizona which designs, builds, and competes with Unmanned Air Systems (UAS). This year, a 25% scale Xtreme Decathlon model aircraft was selected and successfully converted into a fully autonomous UAS for the AUVSI Student Unmanned Aerial Systems (SUAS) 2017 competition. The UAS utilizes a Pixhawk autopilot unit, which is an independent, open-hardware project aiming at providing high-end autopilot hardware at low costs and high availability. The Pixhawk runs an efficient real time operating system (RTOS) and includes sensors such as a GPS unit, IMUs, airspeed, etc. The UAS also includes an onboard imaging system, which is controlled by an onboard computer (OBC). The Pixhawk and OBC are interconnected with two ground control stations (GCS) using the Robot Operating System (ROS) framework, which is capable of extending overall system capabilities to include an expanded telemetry downlink, obstacle avoidance, and manual overrides.
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AL-Buraiki, Omar S. M. "Specialized Agents Task Allocation in Autonomous Multi-Robot Systems." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41504.

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With the promise to shape the future of industry, multi-agent robotic technologies have the potential to change many aspects of daily life. Over the coming decade, they are expected to impact transportation systems, military applications such as reconnaissance and surveillance, search-and-rescue operations, or space missions, as well as provide support to emergency first responders. Motivated by the latest developments in the field of robotics, this thesis contributes to the evolution of the future generation of multi-agent robotic systems as they become smarter, more accurate, and diversified in terms of applications. But in order to achieve these goals, the individual agents forming cooperative robotic systems need to be specialized in what they can accomplish, while ensuring accuracy and preserving the ability to perform diverse tasks. This thesis addresses the problem of task allocation in swarm robotics in the specific context where specialized capabilities of the individual agents are considered. Based on the assumption that each individual agent possesses specialized functional capabilities and that the expected tasks, which are distributed in the surrounding environment, impose specific requirements, the proposed task allocation mechanisms are formulated in two different spaces. First, a rudimentary form of the team members’ specialization is formulated as a cooperative control problem embedded in the agents’ dynamics control space. Second, an advanced formulation of agents’ specialization is defined to estimate the individual agents’ task allocation probabilities in a dedicated specialization space, which represents the core contribution of this thesis to the advancement and practice in the area of swarm robotics. The original task allocation process formulated in the specialization space evolves through four stages of development. First, a task features recognition stage is conceptually introduced to leverage the output of a sensing layer embedded in robotic agents to drive the proposed task allocation scheme. Second, a matching scheme is developed to best match each agent’s specialized capabilities with the corresponding detected tasks. At this stage, a general binary definition of agents’ specialization serves as the basis for task-agent association. Third, the task-agent matching scheme is expanded to an innovative probabilistic specialty-based task-agent allocation framework to generalize the concept and exploit the potential of agents’ specialization consideration. Fourth, the general framework is further refined with a modulated definition of the agents’ specialization based on their mechanical, physical structure, and embedded resources. The original framework is extended and a prioritization layer is also introduced to improve the system’s response to complex tasks that are characterized based on the recognition of multiple classes. Experimental validation of the proposed specialty-based task allocation approach is conducted in simulation and on real-world experiments, and the results are presented and discussed in light of potential applications to demonstrate the effectiveness and efficiency of the proposed framework.
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Paul, André. "Design of an autonomous navigation system for a mobile robot." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99565.

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An autonomous navigational system for a mobile robot was developed based on a Laser-Range-Finder-based path planning and navigational algorithms. The system was enhanced by incorporating collision avoidance algorithms using data from a sonar sensor array, and further improved by establishing two virtual regions in front of the robot for obstacle detection and avoidance. Several virtual detector bands with varying dimensions were also added to the sides of the robot to check for rotational clearance safety and to determine the direction of rotation. The autonomous navigational system was tested extensively under indoor environment. Test results showed that the system performed satisfactorily in navigating the mobile robot in three structured mazes under indoor conditions.
An artificial landmark localization algorithm was also developed to continuously record the positions of the robot whilst it was moving. The algorithm was tested on a grid layout of 6 m x 6 m. The performance of the artificial landmark localization technique was compared with odometric and inertial measurements obtained using a dead-reckoning method and a gyroscope-corrected dead-reckoning method. The artificial landmark localization method resulted in much smaller root mean square error (0.033 m) of position estimates compared to the other two methods (0.175 m and 0.135 m respectively).
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Qiu, Yesiliang. "Autonomous Tick Collection Robot: Platform Development and Driving System Control." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1613752543210849.

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Books on the topic "Autonomous robot system"

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McNeal, William B. Simulation of the autonomous combat systems robot optical detection system. Monterey, Calif: Naval Postgraduate School, 1997.

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Remias, Leonard V. A real-time image understanding system for an autonomous mobile robot. Monterey, California: Naval Postgraduate School, 1996.

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Fish, Robert W. An expert system for high level motion control for an autonomous mobile robot. Monterey, Calif: Naval Postgraduate School, 1993.

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Lochner, Jane Thayer. Analysis and improvement of an ultrasonic sonar system on an autonomous mobile robot. Monterey, Calif: Naval Postgraduate School, 1994.

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Maria, Gini, and Voyles Richard, eds. Distributed Autonomous Robotic Systems 7. Tokyo: Springer, 2006.

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Ageev, M. D. Avtonomnye podvodnye roboty: Sistemy i tekhnologii = Autonomous underwater robots : systems and technology. Moskva: Nauka, 2005.

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International, Conference on Intelligent Autonomous Systems (7th 2002 Marina del Rey Calif ). Intelligent autonomous systems 7. Amsterdam: IOS Press, 2002.

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Miller, Richard Kendall. Survey on autonomous vehicle guidance systems. Madison, GA: Future Technology Surveys, 1989.

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Berns, Karsten, Syed Atif Mehdi, and Muhammad Abubakr. Field and assistive robotics: Advances in systems and algorithms. Aachen: Shaker Verlag, 2014.

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Alami, Rachid. Distributed Autonomous Robotic Systems 6. Tokyo: Springer, 2007.

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Book chapters on the topic "Autonomous robot system"

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Hongo, Takero, Hideo Arakawa, Gunji Sugimoto, Koichi Tange, and Yuzo Yamamoto. "An Automatic Guidance System of a Self-Controlled Vehicle." In Autonomous Robot Vehicles, 32–37. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_3.

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Eiben, Agoston E., Emma Hart, Jon Timmis, Andy M. Tyrrell, and Alan F. Winfield. "Towards Autonomous Robot Evolution." In Software Engineering for Robotics, 29–51. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66494-7_2.

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AbstractWe outline a perspective on the future of evolutionary robotics and discuss a long-term vision regarding robots that evolve in the real world. We argue that such systems offer significant potential for advancing both science and engineering. For science, evolving robots can be used to investigate fundamental issues about evolution and the emergence of embodied intelligence. For engineering, artificial evolution can be used as a tool that produces good designs in difficult applications in complex unstructured environments with (partially) unknown and possibly changing conditions. This implies a new paradigm, second-order software engineering, where instead of directly developing a system for a given application, we develop an evolutionary system that will develop the target system for us. Importantly, this also holds for the hardware; with a complete evolutionary robot system, both the software and the hardware are evolved. In this chapter, we discuss the long-term vision, elaborate on the main challenges, and present the initial results of an ongoing research project concerned with the first tangible implementation of such a robot system.
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Giralt, Georges, Raja Chatila, and Marc Vaisset. "An Integrated Navigation and Motion Control System for Autonomous Multisensory Mobile Robots." In Autonomous Robot Vehicles, 420–43. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_31.

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Kedem, K., and M. Sharir. "An Automatic Motion Planning System for a Convex Polygonal Mobile Robot in 2-Dimensional Polygonal Space." In Autonomous Robot Vehicles, 349–62. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4613-8997-2_26.

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Shinjoh, Atsushi, and Shigeki Yoshida. "Autonomous Information Indication System." In RoboCup-99: Robot Soccer World Cup III, 471–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45327-x_40.

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Dubrawski, Artur, and Henry Thorne. "Evolution of a Useful Autonomous System." In Robot Motion and Control 2009, 453–62. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-985-5_42.

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Ahmadabadi, M. Nili, and Eiji Nakano. "Robot Behavior and Information System for Multiple Object Handling Robots." In Distributed Autonomous Robotic Systems 2, 362–73. Tokyo: Springer Japan, 1996. http://dx.doi.org/10.1007/978-4-431-66942-5_32.

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Kalyani, Ganesh Kumar, Zhijun Yang, Vaibhav Gandhi, and Tao Geng. "Using Robot Operating System (ROS) and Single Board Computer to Control Bioloid Robot Motion." In Towards Autonomous Robotic Systems, 41–50. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64107-2_4.

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Ota, Jun, Tamio Arai, and Yoichi Yokogawa. "Distributed Strategy-making Method in Multiple Mobile Robot System." In Distributed Autonomous Robotic Systems, 123–33. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_12.

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Ghenaim, Abdellah, V. Koncar, S. Benamar, and A. Chouar. "Real Time Robot Tracking System with Two Independent Lasers." In Distributed Autonomous Robotic Systems, 65–77. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_7.

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Conference papers on the topic "Autonomous robot system"

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Khan, Muhammad Tahir, and Clarence de Silva. "Immune System-Inspired Dynamic Multi-Robot Coordination." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87715.

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This paper investigates multi-robot coordination for the deployment of autonomous mobile robots in order to carry out a specific task. A key to utilizing of the full potential of cooperative multi-robot systems is effective and efficient multi-robot coordination. The paper presents a novel method of multi-robot coordination based on an Artificial Immune System. The developed approach relies on Jern’s Immune Network Theory, which concerns how an antibody stimulates or suppresses another antibody and recognizes non-self antigens. In the present work, the robots are analogous to antibodies and the robotic task is analogous to an antigen in a biological immune system. Furthermore, stimulation and suppression in an immune system correspond to communication among robots. The artificial immune system will select the appropriate number of antibodies autonomously to eliminate the antigens. The developed method of multirobot coordination is verified by computer simulation.
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Ahern, Samantha J., Jenny Carter, and Paul Wilson. "Autonomous robot retrieval system." In 2015 SAI Intelligent Systems Conference (IntelliSys). IEEE, 2015. http://dx.doi.org/10.1109/intellisys.2015.7361155.

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Obdrz;alek, David. "Small autonomous robot localization system." In 2009 7th IEEE Student Conference on Research and Development (SCOReD 2009). IEEE, 2009. http://dx.doi.org/10.1109/scored.2009.5442972.

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Bahl, V., and K. L. Moore. "Multi-robot autonomous parking security system." In Proceedings of the 2003 IEEE International Symposium on Intelligent Control. IEEE, 2003. http://dx.doi.org/10.1109/isic.2003.1254727.

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Joshi, Maulin M., and Mukesh A. Zaveri. "Fuzzy Based Autonomous Robot Navigation System." In 2009 Annual IEEE India Conference. IEEE, 2009. http://dx.doi.org/10.1109/indcon.2009.5409419.

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Varabin, Denis, and Dmitry Bagaev. "Autonomous system "car robot"." In 2012 IV International Conference "Problems of Cybernetics and Informatics" (PCI). IEEE, 2012. http://dx.doi.org/10.1109/icpci.2012.6486325.

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Wang, Ya, and Jianhua Zhang. "Autonomous Air Duct Cleaning Robot System." In 2006 49th IEEE International Midwest Symposium on Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/mwscas.2006.382110.

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King, Steven J., and Carl F. R. Weiman. "HelpMate autonomous mobile robot navigation system." In Fibers '91, Boston, MA, edited by Wendell H. Chun and William J. Wolfe. SPIE, 1991. http://dx.doi.org/10.1117/12.48088.

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Putov, A. V., E. V. Ilatovskaya, and M. M. Kopichev. "Self-balancing Robot Autonomous Control System." In 2021 10th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2021. http://dx.doi.org/10.1109/meco52532.2021.9459720.

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Raghavan, Vikraman, and Mo Jamshidi. "Sensor Fusion Based Autonomous Mobile Robot Navigation." In 2007 IEEE International Conference on System of Systems Engineering. IEEE, 2007. http://dx.doi.org/10.1109/sysose.2007.4304295.

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Reports on the topic "Autonomous robot system"

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Bartos, R. J. System safety analysis of an autonomous mobile robot. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/10170290.

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Christie, Benjamin, Osama Ennasr, and Garry Glaspell. Autonomous navigation and mapping in a simulated environment. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/42006.

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Abstract:
Unknown Environment Exploration (UEE) with an Unmanned Ground Vehicle (UGV) is extremely challenging. This report investigates a frontier exploration approach, in simulation, that leverages Simultaneous Localization And Mapping (SLAM) to efficiently explore unknown areas by finding navigable routes. The solution utilizes a diverse sensor payload that includes wheel encoders, three-dimensional (3-D) LIDAR, and Red, Green, Blue and Depth (RGBD) cameras. The main goal of this effort is to leverage frontier-based exploration with a UGV to produce a 3-D map (up to 10 cm resolution). The solution provided leverages the Robot Operating System (ROS).
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Nicolescu, Monica, Mircea Nicolescu, and Sushil Louis. Context-Based Intent Understanding for Autonomous Systems in Naval and Collaborative Robot Applications. Fort Belvoir, VA: Defense Technical Information Center, October 2013. http://dx.doi.org/10.21236/ada592713.

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Gage, Douglas W. Proceedings of the Autonomous Vehicles in Mine Countermeasures Symposium, Monterey CA, 4-7 April 1995 Many-Robot MCM Search Systems. Fort Belvoir, VA: Defense Technical Information Center, April 1995. http://dx.doi.org/10.21236/ada422749.

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