Relevant bibliographies by topics / Simulation of robotic cell

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

Academic literature on the topic 'Simulation of robotic cell'

Author: Grafiati
Published: 28 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Simulation of robotic cell"

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Sabourin, Laurent, Kévin Subrin, Richard Cousturier, Grigoré Gogu, and Youcef Mezouar. "Redundancy-based optimization approach to optimize robotic cell behaviour: application to robotic machining." Industrial Robot: An International Journal 42, no. 2 (March 16, 2015): 167–78. http://dx.doi.org/10.1108/ir-07-2014-0371.

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Purpose – The robot offers interesting capabilities, but suffers from a lack of stiffness. The proposed solution is to introduce redundancies for the overall improvement of different capabilities. The management of redundancy associated with the definition of a set of kinematic, mechanical and stiffness criteria enables path planning to be optimized. Design/methodology/approach – The resolution method is based on the projection onto the kernel of the Jacobian matrix of the gradient of an objective function constructed by aggregating kinematic, mechanical and stiffness weighted criteria. Optimized redundancy management is applied to the 11-DoF (degrees of freedom) cells to provide an efficient placement of turntable and track. The final part presents the improvement of the various criteria applied to both 9-DoF and 11-DoF robotic cells. Findings – The first application concerns the optimized placement of a turntable and a linear track using 11-DoF architecture. Improved criteria for two 9-DoF robotic cells, a robot with parallelogram closed loop and a Tricept are also presented. Simulation results present the contributions of redundancies and the leading role of the track. Research limitations/implications – The redundancy-based optimization presented and the associated simulation approach must be completed by the experimental determination of the optimization criteria to take into account each machining strategy. Practical implications – This work in robotics machining relates to milling operations for automotive and aerospace equipment. The study is carried out within the framework of the RobotEx Equipment of Excellence programme. Originality/value – The resolution method to optimized path planning is applied to 9- and 11-DoF robotic cells, including a hybrid robot with a parallelogram closed loop and a Tricept PKM.
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NOH, YONG DEOK, and BRUCE HERRING. "Simulation model for an individual robotic manufacturing cell." International Journal of Production Research 26, no. 1 (January 1988): 63–79. http://dx.doi.org/10.1080/00207548808947841.

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Sękala, A., A. Gwiazda, G. Kost, and W. Banaś. "Modelling and simulation of a robotic work cell." IOP Conference Series: Materials Science and Engineering 227 (August 2017): 012116. http://dx.doi.org/10.1088/1757-899x/227/1/012116.

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Steed, Clint Alex. "A simulation-based approach to develop a holonic robotic cell." Industrial Robot: the international journal of robotics research and application 46, no. 1 (January 21, 2019): 128–34. http://dx.doi.org/10.1108/ir-07-2018-0149.

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Purpose This paper aims to present an approach for the simulation of a heterogeneous robotic cell. The simulation enables the cell’s developers to conveniently compare the performance of alternative cell configurations. The approach combines the use of multiple available simulation tools, with a custom holonic cell controller. This overcomes the limitation of currently available robot simulation packages by allowing integration of multiple simulation tools including multiple vendor simulation packages. Design/methodology/approach A feeding cell was developed as a case study representing a typical robotic application. The case study would compare two configurations of the cell, namely, eye-in-hand vision and fixed-camera vision. The authors developed the physical cell in parallel with the simulated cell to validate its performance. Then they used simulation to scale the models (by adding subsystems) and shortlist suitable cell configurations based on initial capital investment and throughput rate per unit cost. The feeding cell consisted of a six-degree of freedom industrial robot (KUKA KR16), two smart cameras (Cognex ism-1100 and DVT Legend 500), an industrial PC (Beckhoff) and custom reconfigurable singulation units. Findings The approach presented here allows the combination of dissimilar simulation models constructed for the above mentioned case study. Experiments showed the model developed in this approach could reasonably predict various eye-in-hand and fixed-camera systems’ performance. Combining the holonic controller with the simulation allows developers to easily compare the performance of a variety of configurations. The use of a common communication platform allowed the communication between multiple simulation packages, allowing multi-vendor simulation, thereby overcoming current limitation in simulation software. Research limitations/implications The case study developed here is considered a typical feeding and assembly application. This is however very different from other robotic applications which should be explored in separate case studies. Simulation packages with the same communication interface as the physical resource can be integrated. If the communication interface is not available, other means of simulation can be used. The case study findings are limited to the specific products being used and their simulation packages. However, these are indicative of typical industry technologies available. Only real-time simulations were considered. Practical implications This simulation-based approach allows designers to quickly quantify the performance of alternative system configurations (eye-in-hand or fixed camera in this case) and scale, thereby enabling them to better optimize robotic cell designs. In addition, the holonic control system’s modular control interface allows for the development of the higher-level controller without hardware and easy replacement of the lower level components with other hardware or simulation models. Originality/value The combination of a holonic control system with a simulation to replace hardware is shown to be a useful tool. The inherent modularity of holonic control systems allows that multiple simulation components be connected, thereby overcoming the limitation of vendor-specific simulation packages.
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KUTS, Vladimir ., Tauno  OTTO, Toivo TÄHEMAA, and Yevhen BONDARENKO. "DIGITAL TWIN BASED SYNCHRONISED CONTROL AND SIMULATION OF THE INDUSTRIAL ROBOTIC CELL USING VIRTUAL REALITY." Journal of Machine Engineering 19, no. 1 (February 20, 2019): 128–44. http://dx.doi.org/10.5604/01.3001.0013.0464.

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During the years common understanding of the possibilities and perspectives of Virtual Reality (VR) usage has been changed. It is thought that VR is mainly used in entertainment purposes, but it is being used already for many years in different industries, and now with easier access to the hardware it became a helpful and accessible tool that could be used and developed in any field of human activities. In manufacturing, immersive technologies are mainly used nowadays for the visualisation of processes and products combining those visuals into the factory Digital Twin (DT) which is possible to view from the inside look. This feature is already being used in several manufacturing simulation tools, which enable to view onto industrial line / robotic cells via Virtual Reality glasses. However, the potential of using simulations with VR in manufacturing is not fully uncovered. The main aim of this, industrial robotics targeted research is to enable besides simulation also universal control algorithms through Virtual Reality experience, produced by game engine Unity3D, which can be easily modified for a wide range of industrial equipment. The primary outcome of this work is the development of the synchro-nisation model of real and virtual industrial robots and experimental testing the developed model in Virtual Reality and shop floor labs
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Sharma, Ankit, A. K. Jha, and Arpan Halder. "Layout optimization of a robotic cell for foundry application by CAD based point cloud modeling – a case study." Industrial Robot: An International Journal 44, no. 6 (October 16, 2017): 788–97. http://dx.doi.org/10.1108/ir-01-2017-0005.

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Purpose In an industrial robotic cell, the optimal layout planning problem needs critical analysis, as it indirectly affects the manufacturing time and cost involved in the production process. This paper aims to propose a generic three-step robotic cell layout planning method and aims to enhance the adaptability of robotic manufacturing cell in small-scale industries. Design/methodology/approach The method uses the data generated from the point cloud modeling and simulation of the objects (machines and robot) to optimize their positions and orientations in the cell. The simulated annealing algorithm has been used to solve the optimization problem with minimum joint displacement criterion. This approach is critically analyzed and discussed against the data collected from an industrial robotic cell in a foundry shop of a pipe manufacturing industry. Findings More than 50 per cent reduction in the net joint movement of the robot has been achieved. Immediate feedback of the results by a three-dimensional view of the optimal cell layout without using any commercial robotic simulation package. Originality/value The layout optimization of an industrial robotic cell based on the point cloud modeling of its objects is the novelty of the method.
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Hwang, Gilgueng, Preeda Chantanakajornfung, and Hideki Hashimoto. "Versatile Robotic Biomanipulation with Haptic Interface." Journal of Robotics and Mechatronics 19, no. 5 (October 20, 2007): 585–91. http://dx.doi.org/10.20965/jrm.2007.p0585.

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This paper presents a multi-scale extension of versatile robotic biomanipulation powered by single-master multislave (SMMS) bilateral teleoperation. We tested the potential possibility of SMMS multiscale extension to variety of biomanipulation applications. Our target goal is to design a multi-scale biotweezing tool. The SMMS configuration was previously proven useful for single manipulation control. First, cell handling experiments such as pick-and-place, injection, and cell indentation with probing from meso- to nanoscale are shown using salmon roe, modeled styren block and a dried yeast cell representing biological applications. A simulation environment was constructed to emulate potential experiments on the subnanoscale. Based on our lab-on-a-tip approach, we expect our proposal to become a multifunctional platform for biomanipulation. We describe an SMMS biomanipulation experiment on the extracellular scale and simulation for potential subcellular applications. Virtual reality (VR) simulation is used in rapid prototype manipulation or assembly models prior to actual biomanipulation experiments and is used as an experimental platform.
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Masmoudi, F. "Optimization of product transfer with constraint in robotic cell using simulation." International Journal of Simulation Modelling 5, no. 3 (September 15, 2006): 89–100. http://dx.doi.org/10.2507/ijsimm05(3)1.063.

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Lee, Shyanglin (Sam), Hsu‐Pin (Ben) Wang, and Chao‐Hsien Chu. "Controlling a Robotic Cell by Dynamic Rule Despatching – A Simulation Study." International Journal of Operations & Production Management 10, no. 4 (April 1990): 51–64. http://dx.doi.org/10.1108/01443579010001988.

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Ueyama, Tsuyoshi, Toshio Fukuda, and Fumihito Arai. "Evaluation of Communication Structure for Cellular Robotic System." Journal of Robotics and Mechatronics 4, no. 2 (April 20, 1992): 115–21. http://dx.doi.org/10.20965/jrm.1992.p0115.

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This paper deals with an evaluation of the communication architecture for Cellular Robotic System (CEBOT) with plural master cells. The CEBOT consists of a large number of autonomous robotic units called ""cells,"" that is, the system is one of distributed robotic systems. The communication architecture is one of the important issues for distributed intelligent systems. To evaluate the effectiveness of the communication architecture, we use the network energy, which is proposed by us in the previous paper. The issue of the communication architecture for the distributed robotic system is also one of the grouping issues for the group robotic system. In this paper, we consider each master cell as a coordinator in each sub-network, where the sub-network is constructed by a master cell as a core. To evaluate the grouping network, we propose the cross-dependence matrix, which presents the relation between the cells and the task steps depending on a given task. The simulation results presents the grouping examples of the cellular network. According to the simulation results, we also describe the effect for the group structure of community or a society.
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Dissertations / Theses on the topic "Simulation of robotic cell"

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Vrána, Vojtěch. "Návrh robotické buňky pro obsluhu tryskače pro čištění odlitků." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444305.

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The main goal of this master’s thesis is to create a design of robotic cell for operating of blasting machine. Operation of blasting machine consists of robotic manipulation of aluminium castings from input container to the blasting machine conveyor. After blasting operation aluminium castings are manipulated by robot from conveyor to output container. The part of the master's thesis is proposal of several variants of solution of design of robotic cell. Afterwards the best option is selected. The thesis also deals with design and selection of functional components in robotic cell. Functional verification of robotic cell is made in software Tecnomatix Process Simulate. Technical-economics evaluation is also part of this master’s thesis.
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Gohil, Kuldeepsinh. "Verification and Visualization of Safe Human Robot Collaboration for Robotic Cell." Thesis, Högskolan Väst, Avdelningen för Industriell ekonomi, Elektro- och Maskinteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-12798.

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Robotics and Automation field is booming in today´s scenario. Researchers and Technologist comes up with new ideas in the robotics field to achieve a higher productivity, flexibility and efficiency. To achieve the above goals, it shall be required that human and robot share their work space with each other and works in a collaborative nature. Safety is a main concern and in focus. Robot should not injure the operator in any way during working in robotic cell. In this master thesis main focus is to create a various test plans and validate them to ensure the safety level in robotic cell. The test plan should be validated in a real robot environment. The test plans consist of functional and individual verification of safety devices which are being used in a robotic cell at PTC which is known as smart automation lab. Apart from that it includes design simulation of robotic cells with manikins to ensure validation of safety in virtual environment. Design simulation of robotic cell with manikins are created in RobotStudio 6.06. However, smart components, trap routines, SafeMove and offline program in RAPID have been created. Various test results are incorporated in the results section to ensure the verification and validation of safe human robot collaboration of virtual environment in RobotStudio 6.06.
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Hoplíček, Štěpán. "Návrh robotické buňky pro manipulační operace." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382118.

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This Master´s thesis deals with the design of a robotic cell for manipulation operations. By two robots are performed manipulation operations with a product between turntable, station with a pulsed fiber laser, label printer with applicator and conveyor belt. Further, the thesis describes the selection process of each device of the robotic cell, the design of an end effector and a fixture. The robotic cell is designed in compliance with the safety standards. The aim of this thesis is to design the robotic cell, which meets the requirement for a given cycle time. The cycle time is determined using a simulation model of the robotic cell created in PLM software Siemens Process Simulate.
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Ames, Zegarra Carolina, and Ananthan Indukaladharan. "Simulation of Assembly cell : Simulation based evaluation of automation solutions in an assembly cell." Thesis, Jönköping University, JTH, Industriell produktutveckling, produktion och design, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53862.

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Purpose:The primary purpose of the current thesis is to develop a virtual model using discrete event simulation (DES), which aims at supporting the decision-making process regarding automation solution proposals for SMEs.  Method:The research approach is positivism, and it considers quantitative and empirical information. A literature search is conducted to generate a base for obtaining the theory required for the current report to answer the research questions. This search included the trace of relevant and reviewed topics regarding automation, discrete event simulation, and production lines. Then, a scenario simulation is designed and studied based on empiric knowledge and how automation would affect it, followed by a collection of information from the simulation iterations. Findings& Analysis: Two scenarios are presented. One with a fully manually operated assembly line consisting of only human operators and a second scenario, a semi-automated assembly line that includes some robots in specific areas doing specific operations. The two scenarios are simulated to check to what extend the KPI’s and parameters improved between each scenario. The experiment result concludes that by introducing automation elements in the production line, there is an increase in the overall efficiency, throughput rate, and a considerable gap against humans in WIP. Conclusions and recommendations: The results obtained from the experimentation in discrete event simulation software and study from previous research show that discrete event simulation has a significant contribution when considering a decision-making tool's role. Since it allows to understand and study the specific scenario by imitation and try different solutions in the same production system, it also allows studying several indicators from the scenarios to be checked to what extent they could be improved. Delimitations: The current thesis includes several delimitations. First, it focuses only on an operational level. Also, this study consists of a specific type of product with many variants, and finally, there are only two scenarios studied: a fully manual scenario and a semi-automated scenario with the presence of robots.
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Lukačovič, Peter. "Návrh robotické buňky pro svařování a manipulaci." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382111.

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The purpose of this master’s thesis is a design of the robotic cell for spot welding followed by manipulation with parts assigned for automotive industry. The cell should consist of a rotary table operated by a process operator and set of six-axis robots for spot welding and manipulation with parts. The thesis also describes the design of the end effectors of all robots, the design of rotary table with regard to welding technology and configuration of the cell to obtain maximal efficiency. The output of the thesis is 3D model, workflow simulation, evaluation of the production times and operator work conditions.
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Kaňa, Vojtěch. "Návrh robotické buňky pro bodové svařování." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400978.

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The aim of this thesis was to design a robotic cell for spot welding of seat reinforcement and the subsequent automatic transport of the part from the cell. Both construction plan and process simulation in Process Simulate should be performed there. It is therefore an application for the automotive industry. The cell consists of a device into which the operator places the parts and is placed on the designed turntable. The welding is performed by two Kuka robots and welding tongs attached to them. The thesis deals with the design of the structure and the choice of individual components, as well as their appropriate deployment in the cell. Along with the design of the cell, the simulation was processed in the software. The output of the thesis is a 3D model of the workplace, simulation of the whole process of welding and manipulation and evaluation of the cell cycle using the RCS module.
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Mrkva, Tomáš. "Simulační studie výrobní linky s průmyslovými roboty." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417546.

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This diploma thesis deals with the design of a robotic workplace for deburring of a given part. The robot's task is to remove the machined part from the production machine, create a blank workpiece ready for machining, and finally deburr the the machined part. There are several proposals for the layout of the robotic cell, as well as the design of the end effector, the input tray for semi-finished products and a stand with tools for deburring. Subsequently, a simulation model of the designed robotic cell is created in the Siemens Process Simulate software. Using RSC modules, the exact resulting cell clock is determined. The whole process of creating a simulation model is detaily described. At the end of this thesis is an economic evaluation of the proposed solution.
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Kubovčík, Peter. "Návrh robotického pracoviště pro automatické zakládání termostatických hlavic." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-401005.

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The objective of this master thesis is to design a robotic work cell for automated insertion of thermostatic heads. The proposed design was based on the comprehensive analysis of the current workplace. By taking the demands of the company and customer into consideration, several possibilities of the robotic work cell design were proposed, from which the most suitable one was chosen and carefully elaborated. During the process of designing, several safety standards had to be taken into consideration in order to mitigate risks. For that purpose, a risk analysis was conducted as well. Using the Siemens Process Simulate software, the proposed robotic work cell concept was verified, including cycle time analysis. The last part of the thesis is an assessment of the initial expenditures of the robotic work cell equipment, as well as the return of the investment calculation. Drawing of the robotic work cell layout is attached to the thesis.
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Šváček, Jiří. "Simulační studie robotické linky pro obsluhu obráběcího stroje pro velkosériovou výrobu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-417748.

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The thesis deals with design of robotic cell for operation with CNC machine. When CNC machine is machining, inactive robot is used for deburring specific edges on the workpiece with help of pneumatic spindles. Thesis include design of end-effectors for handling and deburring operations, design and placement of individual parts of robotic cell. Part of the thesis deals with safety of the cell. Next part of thesis is focus on finding out cycle time of the robot. Robot have to manage cooperate with CNC machine and deburr edges in time. Cycle time is find out at simulation study in software called Tecnomatix Process Simulate. On the end of thesis is technical-economics evaluation
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Majer, Tomáš. "Návrh pracoviště s průmyslovým robotem." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2018. http://www.nusl.cz/ntk/nusl-382109.

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This diploma thesis deals with design of a robotized workplace for welding truss structures. First, the target construction that the work focuses on is shown. Then the functions of the entire workplace are designed, including the procedures for activities and the gross displacement of the used components and their layout. The next chapter itemize specific robots and components. This, along with the solution of safety and ergonomics, makes the layout of the entire workplace more precise. Everything is completed by creating a simulation model in Siemens Tecnomatix Process Simulate, where all the welding operations are simulated.
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Books on the topic "Simulation of robotic cell"

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Barker, Stephen J. The design, simulation and implementation of a robotic assembly cell. Salford: University of Salford, 1991.

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Robotic simulation. Boca Raton: CRC Press, 1994.

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Priami, Corrado. Transactions on Computational Systems Biology XIV: Special Issue on Computational Models for Cell Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Lilly, Kathryn W. Efficient Dynamic Simulation of Robotic Mechanisms. Boston, MA: Springer US, 1993.

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Efficient dynamic simulation of robotic mechanisms. Boston: Kluwer Academic, 1993.

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Lilly, Kathryn W. Efficient Dynamic Simulation of Robotic Mechanisms. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-3124-1.

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Schilling, Robert J. Robotic manipulation: Programming and simulation studies. Englewood Cliffs, N.J: Prentice-Hall, 1990.

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Patel, Hitendra R. H., and Jean V. Joseph, eds. Simulation Training in Laparoscopy and Robotic Surgery. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2930-1.

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Yakovlev, Andrej Yu, and Aleksandr V. Zorin. Computer Simulation in Cell Radiobiology. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-51716-7.

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1947-, Zorin Aleksandr V., ed. Computer simulation in cell radiobiology. Berlin: Springer-Verlag, 1988.

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Book chapters on the topic "Simulation of robotic cell"

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Doulgeri, Zoe, and Giuseppe D’Alessandro. "Development of Intelligent Control for Robot Cells using Knowledge Based Simulation." In Robotic Systems, 595–602. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2526-0_68.

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Severance, Frank L., and Ralph Tanner. "The Simulation of a Manufacturing Cell." In CAD/CAM Robotics and Factories of the Future, 89–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52326-7_16.

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Severance, Frank L., and Ralph Tanner. "The Simulation of a Manufacturing Cell." In CAD/CAM Robotics and Factories of the Future, 89–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-39962-0_16.

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Tudorie, Claudia Raluca. "Different Approaches in Feeding of a Flexible Manufacturing Cell." In Simulation, Modeling, and Programming for Autonomous Robots, 509–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17319-6_46.

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Faber, Marco, Sinem Kuz, Marcel Ph Mayer, and Christopher M. Schlick. "Design and Implementation of a Cognitive Simulation Model for Robotic Assembly Cells." In Engineering Psychology and Cognitive Ergonomics. Understanding Human Cognition, 205–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39360-0_23.

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Kuts, Vladimir, Gianfranco E. Modoni, Walter Terkaj, Toivo Tähemaa, Marco Sacco, and Tauno Otto. "Exploiting Factory Telemetry to Support Virtual Reality Simulation in Robotics Cell." In Lecture Notes in Computer Science, 212–21. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60922-5_16.

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Hibino, Hironori, Toshihiro Inukai, and Yukishige Yoshida. "Manufacturing Cell Simulation Environment for Automated Visual Inspection Using Robot First Report: Fundamental System." In Advances in Production Management Systems. Value Networks: Innovation, Technologies, and Management, 171–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33980-6_21.

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Zihni, Ahmed, William Gerull, and Michael M. Awad. "Robotic Simulation Training." In Robotic-Assisted Minimally Invasive Surgery, 13–18. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96866-7_2.

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George, Evalyn I., Roger Smith, Jeffrey S. Levy, and Timothy C. Brand. "Simulation in Robotic Surgery." In Comprehensive Healthcare Simulation: Surgery and Surgical Subspecialties, 191–220. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-98276-2_17.

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Feins, Richard H. "Real Tissue Robotic Simulation: The KindHeart Simulators." In Robotic Surgery, 105–9. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-53594-0_10.

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Conference papers on the topic "Simulation of robotic cell"

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Liu, Jian, and J. P. Sadler. "Robotic Assembly Cell Simulation." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0456.

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Abstract A flexible robotic assembly cell is described, and some of the research activities involving the cell and robot applications in manufacturing environments are presented. This research relies heavily on computer simulation. Assembly cell computer modeling, cell calibration, robot collision detection, and off-line programming are described in this paper.
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Miller, Alec R., and Raymond J. Cipra. "Simulation of Automated Robotic Assembly." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0090.

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Abstract This paper examines the development of a networked simulation system. The Automated Robotic Manipulation (ARM) simulator is a central part of the network. This simulation tool currently assists with research and education into automated assembly. Robots, fixtures, conveyors, and parts create an automated assembly cell which is used to test advanced manufacturing software. ARM animates models of these physical components and enhances them with additional forms of three-dimensional graphical visualization. The feasibility of automated assembly can rapidly be assessed from the visual content presented by the simulator. Input formats for ARM are flexible enough to support a wide range of assembly cells and activities. Files and network transmissions customize the simulator to a particular assembly cell and its activities. The emerging assembly data protocol promotes the development of a truly integrated manufacturing system. A graphical interface complete with multiple views assists assembly cell layout and activity review, and networked operations significantly expand its role to areas such as interactive robot control and assembly preview.
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Feng, Xiaolong, Daniel Wa¨ppling, Hans Andersson, Johan O¨lvander, and Mehdi Tarkian. "Multi-Objective Optimization in Industrial Robotic Cell Design." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28488.

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It has become a common practice to conduct simulation-based design of industrial robotic cells, where Mechatronic system model of an industrial robot is used to accurately predict robot performance characteristics like cycle time, critical component lifetime, and energy efficiency. However, current robot programming systems do not usually provide functionality for finding the optimal design of robotic cells. Robot cell designers therefore still face significant challenge to manually search in design space for achieving optimal robot cell design in consideration of productivity measured by the cycle time, lifetime, and energy efficiency. In addition, robot cell designers experience even more challenge to consider the trade-offs between cycle time and lifetime as well as cycle time and energy efficiency. In this work, utilization of multi-objective optimization to optimal design of the work cell of an industrial robot is investigated. Solution space and Pareto front are obtained and used to demonstrate the trade-offs between cycle-time and critical component lifetime as well as cycle-time and energy efficiency of an industrial robot. Two types of multi-objective optimization have been investigated and benchmarked using optimal design problem of robotic work cells: 1) single-objective optimization constructed using Weighted Compromise Programming (WCP) of multiple objectives and 2) Pareto front optimization using multi-objective generic algorithm (MOGA-II). Of the industrial robotics significance, a combined design optimization problem is investigated, where design space consisting of design variables defining robot task placement and robot drive-train are simultaneously searched. Optimization efficiency and interesting trade-offs have been explored and successful results demonstrated.
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Ionescu, Florin, and Ilie Talpasanu. "Teleoperation Hybrid Robot for Cell Micro and Nano Manipulations." In ASME 2006 Frontiers in Biomedical Devices Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/nanobio2006-18018.

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In this paper is presented a developed robotic system for cell micro/nano manipulation and penetration, based on the visual/haptic interface. The operator’s motion and manipulations skills are transferred to the robot control system by direct teleoperation. The robot’s regional structure has three translational joints and one passive rotational joint for the nanorobot adjustment. The three-d.o.f piezo actuated nano robot is a compact and stiff structure, to guarantee the three-dimensional nano motion and control for sample manipulation or injection. The closed kinematic structure with two fundamental loops has been chosen for the required working space, high speed, and precision. The digraph-matroid approach is used for the model’s kinematics, and the SDS software for the robot’s simulation.
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Smartt, N. P. "Use of graphical simulation to design the layout of a robotic cell." In Fifth International Conference on FACTORY 2000 - The Technology Exploitation Process. IEE, 1997. http://dx.doi.org/10.1049/cp:19970130.

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Cash, Charles R., and Wilbert E. Wilhelm. "Simulation modeling approach for analyzing robotic assembly cells." In the 18th conference. New York, New York, USA: ACM Press, 1986. http://dx.doi.org/10.1145/318242.318496.

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Kangru, Tavo, Kashif Mahmood, Tauno Otto, Madis Moor, and Jüri Riives. "Knowledge-Driven Based Performance Analysis of Robotic Manufacturing Cell for Design Improvement." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23541.

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Abstract Manufacturing companies must ensure high productivity and low production cost in rapidly changing market conditions. At the same time products and services are evolving permanently. In order to cope with those circumstances, manufacturers should apply the principles of smart manufacturing together with continuous processes improvement. Smart manufacturing is a concept where production is no longer highly labor-intensive and based only on flexible manufacturing systems, but production as a whole process should be monitored and controlled with sophisticated information technology, integrated on all stages of the product life cycle. Process improvements in Smart Manufacturing are heavily reliance on decisions, which can be achieved by using modeling and simulation of systems with different analyzing tools based on Big Data processing and Artificial Intelligence (AI) technologies. This study was performed to automate an estimation process and improve the accuracy for production cell’s performance evaluation. Although there have been researches performed in the same field, the substantial estimation process outcome and accuracy still need to be elaborated further. In this article a robot integrated production cell simulation framework is developed. A developed system is used to simulate production cell parametric models in the real-life situations. A set of rules and constraints are created and inserted into the simulation model. Data for the constraints were acquired by investigating industries’ best production cells performance parameters. Information was gathered in four main fields: company profile and strategy, cell layout and equipment, manufactured products process data and shortcomings of goal achievements or improvement necessary to perform. From those parametric case model, a 3D virtual manufacturing simulation model is built and simulated for achieving accurate results. The integration of manufacturing data into decision making process through advanced prescriptive analytics models is a one of the future tasks of this study. The integration makes it possible to use “best practice” data and obtained Key Performance Indicators (KPIs) results to find the optimal solutions in real manufacturing conditions. The objective is to find the best solution of robot integrated cell for a certain industry using AI enabled simulation model. It also helps to improve situation assessment and deliberated decision-making mechanism.
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Mihoubi, B., M. Gaham, B. Bouzouia, and A. Bekrar. "A rule-based harmony search simulation-optimization approach for intelligent control of a robotic assembly cell." In 2015 3rd International Conference on Control, Engineering & Information Technology (CEIT). IEEE, 2015. http://dx.doi.org/10.1109/ceit.2015.7233172.

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Maruyama, Norihiro, Atsushi Masumori, Julien Hubert, Takeshi Mita, Douglas Bakkum, Hirokazu Takahashi, and Takashi Ikegami. "Designing a Robotic Platform Controlled by Cultured Neural Cells." In Artificial Life 14: International Conference on the Synthesis and Simulation of Living Systems. The MIT Press, 2014. http://dx.doi.org/10.7551/978-0-262-32621-6-ch124.

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Papa, Stefano, Giuseppe di Gironimo, Federica Casoria, and Gioacchino Micciché. "Virtual Prototyping and Simulation of Robotic Devices and Maintenance Procedures for Remote Handling Activities in the Access Cell of DONES." In 2018 26th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/icone26-82390.

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The paper describes the activities of conceptual design of tools and procedures and the virtual simulation of the Remote Handling (RH) tasks provided in the maintenance of the systems present in the Access Cell (AC) of DONES (DEMO Oriented Neutron Source) facility. In particular, the RH maintenance of the Target Assembly (TA) is critical because of its position in the most severe region of neutron irradiation, the Test Cell (TC), where the material specimen are tested to understand the degradation of the materials properties throughout the reactor operational life. The main RH maintenance activity includes the replacement of the entire TA and the cleaning of the surfaces of connection in the TC. The cleaning operation is fundamental because it allows the removal of any lithium solid deposition from the surfaces: any further deposition on the surfaces could compromise the sealing of the TA. The RH is based on the idea of a reconfigurable modular chain of devices connected to the Access Cell Mast Crane (ACMC) located in the AC. To increase the modularity and to reduce the costs of the Remote Handling System (RHS), a telescopic boom is used equipped with a Gripper Change System (GCS) that allows the use of different end effectors. To perform the tasks, a Parallel Kinematic Manipulator (PKM) and a Robotic Arm (RA) are proposed, allowing the tools to move with more degree of freedom in the AC space. The modeling of the devices and the 3D kinematic simulations maintenance operations tasks were simulated and tested in virtual reality environment, aimed at developing and validating the implemented maintenance procedures, in collaboration with the IDEAinVR Laboratory of CREATE/University of Naples Federico II, and the research center at ENEA Brasimone, Italy.
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Reports on the topic "Simulation of robotic cell"

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Smith, Roger D. Medical Robotic and Telesurgical Simulation and Education Research. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada623466.

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Smith, Roger D. Medical Robotic and Telesurgical Simulation and Education Research. Fort Belvoir, VA: Defense Technical Information Center, September 2015. http://dx.doi.org/10.21236/ada623646.

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Smith, Roger D. Medical Robotic and Telesurgical Simulation and Education Research. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada615543.

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Smith, Roger D. Medical Robotic and Telesurgical Simulation and Education Research. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada566554.

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Hoppel, Mark. Creation of Robotic Snake to Validate Contact Modeling in Simulation. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada594656.

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Ledjeff-Hey, K., J. Roes, V. Formanski, J. Gieshoff, and B. Vogel. Process simulation of a PEM fuel cell system. Office of Scientific and Technical Information (OSTI), January 1996. http://dx.doi.org/10.2172/460303.

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Gunter, Dave D., Wesley W. Bylsma, Kevin Edgar, Mike D. Letherwood, and David J. Gorsich. Using Modeling and Simulation to Evaluate Stability and Traction Performance of a Track Laying Robotic Vehicle. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada439072.

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Trembacki, Bradley L., Jayathi Y. Murthy, and Scott Alan Roberts. Fully Coupled Simulation of Lithium Ion Battery Cell Performance. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1221525.

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Joyce, Glenn, Martin Lampe, Steven P. Slinker, and Wallace M. Manheimer. Electrostatic Particle-in-Cell Simulation Technique for Quasineutral Plasma. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada323507.

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Ernest, J. B., H. Ghezel-Ayagh, and A. K. Kush. Dynamic simulation of a direct carbonate fuel cell power plant. Office of Scientific and Technical Information (OSTI), December 1996. http://dx.doi.org/10.2172/460168.

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