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Journal articles on the topic 'Workcells'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Beju, Livia Dana. "Algorithm for workcells design." MATEC Web of Conferences 343 (2021): 03002. http://dx.doi.org/10.1051/matecconf/202134303002.

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The paper presents a methodology for the design of the manufacturing cells, covering all the necessary steps, from the analysis of the customers’ needs, to part families for group technologies, process engineering, control procedures, production rate, production planning (push or pull workflow), supply in the manufacturing cell, workcell configuration, work standardisation. The necessary tools through each stage are presented. Also, there are presented links to major company systems. For each design stage, deliverables are specified. this design approach is not linear. At each stage it is poss

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2

Antonelli, Dario, Qingfei Zeng, Khurshid Aliev, and Xuemei Liu. "Robust assembly sequence generation in a Human-Robot Collaborative workcell by reinforcement learning." FME Transactions 49, no. 4 (2021): 851–58. http://dx.doi.org/10.5937/fme2104851a.

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Human-Robot Collaborative (HRC) workcells could enhance the inclusive employment of human workers regardless their force or skills. Collaborative robots not only substitute humans in dangerous and heavy tasks, but also make the related processes within the reach of all workers, overcoming lack of skills and physical limitations. To enable the full exploitation of collaborative robots traditional robot programming must be overcome. Reduction of robot programming time and worker cognitive effort during the job become compelling requirements to be satisfied. Reinforcement learning (RL) plays a co

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3

BORCHELT, R. D., and S. ALPTEKIN. "Error recovery in intelligent robotic workcells." International Journal of Production Research 32, no. 1 (1994): 65–73. http://dx.doi.org/10.1080/00207549408956916.

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4

Hight, Terry H. "Implementation of Robotics Workcells in the Laboratory." Journal of Liquid Chromatography 9, no. 14 (1986): 3191–96. http://dx.doi.org/10.1080/01483918608074176.

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5

Felder, Robin A. "Modular workcells: modern methods for laboratory automation." Clinica Chimica Acta 278, no. 2 (1998): 257–67. http://dx.doi.org/10.1016/s0009-8981(98)00151-x.

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6

Erdős, Gábor, Imre Paniti, and Bence Tipary. "Transformation of robotic workcells to digital twins." CIRP Annals 69, no. 1 (2020): 149–52. http://dx.doi.org/10.1016/j.cirp.2020.03.003.

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7

Chan, Timothy, Kedar Godbole, and Edwin Hou. "Optimal Input Shaper Design For High-Speed Robotic Workcells." Journal of Vibration and Control 9, no. 12 (2003): 1359–76. http://dx.doi.org/10.1177/1077546304031165.

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This paper deals with the feedforward control of a high-speed robotic workcell used by the NIST-ATP Precision Optoelectronics Assembly Consortium as a coarse stage to achieve micrometer-level placement accuracy. To maximize the speed of response under different load conditions, robust feedforward algorithms are considered. An optimal shaper is synthesized to trade off performance and robustness according to assembly specifications of the workcell. The optimal shaper along with standard shaper designs such as zero vibration, zero vibration and derivative, and extra insensitive are applied to co

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8

Hock Soon, Tan, and Robert de Souza School. "Intelligent simulation‐based scheduling of workcells: an approach." Integrated Manufacturing Systems 8, no. 1 (1997): 6–23. http://dx.doi.org/10.1108/09576069710158754.

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9

Seo, Yoonho, Dongmok Sheen, Chiung Moon, and Taioun Kim. "Integrated design of workcells and unidirectional flowpath layout." Computers & Industrial Engineering 51, no. 1 (2006): 142–53. http://dx.doi.org/10.1016/j.cie.2006.07.006.

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10

Lueth, T. C. "Automated Computer-Aided Layout Planning for Robot Workcells." IFAC Proceedings Volumes 25, no. 7 (1992): 473–78. http://dx.doi.org/10.1016/s1474-6670(17)52412-x.

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11

Rajan, Arvind, and Moshe Segal. "Assigning Components to Robotic Workcells for Electronic Assembly." AT&T Technical Journal 68, no. 3 (1989): 93–102. http://dx.doi.org/10.1002/j.1538-7305.1989.tb00322.x.

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12

Storiale, Federica, Enrico Ferrentino, and Pasquale Chiacchio. "Planning of efficient trajectories in robotized assembly of aerostructures exploiting kinematic redundancy." Manufacturing Review 8 (2021): 8. http://dx.doi.org/10.1051/mfreview/2021007.

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Aerospace production volumes have increased over time and robotic solutions have been progressively introduced in the aeronautic assembly lines to achieve high-quality standards, high production rates, flexibility and cost reduction. Robotic workcells are sometimes characterized by robots mounted on slides to increase the robot workspace. The slide introduces an additional degree of freedom, making the system kinematically redundant, but this feature is rarely used to enhance performances. The paper proposes a new concept in trajectory planning, that exploits the redundancy to satisfy addition

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13

Chang, Timothy, Kedar Godbole, and Edwin Hou. "Optimal Input Shaper Design For High-Speed Robotic Workcells." Journal of Vibration and Control 9, no. 12 (2003): 1359–76. http://dx.doi.org/10.1177/107754603031165.

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14

Marvel, Jeremy A., and Rick Norcross. "Implementing speed and separation monitoring in collaborative robot workcells." Robotics and Computer-Integrated Manufacturing 44 (April 2017): 144–55. http://dx.doi.org/10.1016/j.rcim.2016.08.001.

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15

Hryniewicz, P., W. Banaś, A. Sękala, A. Gwiazda, K. Foit, and G. Kost. "Object positioning in storages of robotized workcells using LabVIEW Vision." IOP Conference Series: Materials Science and Engineering 95 (November 3, 2015): 012098. http://dx.doi.org/10.1088/1757-899x/95/1/012098.

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16

López-Mellado, E., and G. Escalada-Imaz. "A Scheme for On-Line Failure Diagnosis in Assembly Workcells." IFAC Proceedings Volumes 21, no. 15 (1988): 89–93. http://dx.doi.org/10.1016/s1474-6670(17)54682-0.

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17

Gu, Edward Y. L., and Naim A. Kheir. "Optimal task planning and control of multi-robot coordinated workcells." IFAC Proceedings Volumes 32, no. 2 (1999): 671–76. http://dx.doi.org/10.1016/s1474-6670(17)56114-5.

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18

Walker, Ian, Adam Hoover, and Yanfei Liu. "Handling unpredicted motion in industrial robot workcells using sensor networks." Industrial Robot: An International Journal 33, no. 1 (2006): 56–59. http://dx.doi.org/10.1108/01439910610638234.

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19

Ramirez-Serrano, A., and B. Benhabib. "Supervisory control of reconfigurable flexible-manufacturing workcells - temporary addition of resources." International Journal of Computer Integrated Manufacturing 16, no. 2 (2003): 93–111. http://dx.doi.org/10.1080/713804986.

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20

Banas, W., A. Sekala, A. Gwiazda, K. Foit, P. Hryniewicz, and G. Kost. "The modular design of robotic workcells in a flexible production line." IOP Conference Series: Materials Science and Engineering 95 (November 3, 2015): 012099. http://dx.doi.org/10.1088/1757-899x/95/1/012099.

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21

Chaney, K. D., and J. K. Davidson. "A Synthesis Method For Placing Workpieces In RPR Planar Robotic Workcells." Journal of Mechanical Design 120, no. 2 (1998): 262–68. http://dx.doi.org/10.1115/1.2826967.

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A new method is used for determining both a satisfactory location of a workpiece and a suitable mounting-angle of the tool for planar RPR robots that can provide dexterous workspace. All three joints of the robot have excursion-limits that bound their displacement. For the purposes of this paper, the third joint, a revolute, permits exactly one full turn. Successful locations for the workpiece are those places where the rotations at each task-axis and the third joint are synchronized. For a fixed mounting angle of the tool, the radial location and orientation of the workpiece are determined by

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22

Lauzon, S. C., J. K. Mills, and B. Benhabib. "An implementation methodology for the supervisory control of flexible manufacturing workcells." Journal of Manufacturing Systems 16, no. 2 (1997): 91–101. http://dx.doi.org/10.1016/s0278-6125(97)85673-7.

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23

Davidson, J. K., and K. D. Chaney. "A design procedure for RPR planar robotic workcells: an algebraic approach." Mechanism and Machine Theory 34, no. 2 (1999): 193–203. http://dx.doi.org/10.1016/s0094-114x(98)00024-x.

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24

Borangiu, Th, A. Hossu, and Fl Ionesou. "A Low Cost Control Structure for Flexible Production Lines with Multitask Workcells." IFAC Proceedings Volumes 25, no. 23 (1992): 13–17. http://dx.doi.org/10.1016/s1474-6670(17)52221-1.

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25

Soman, N. A., and J. K. Davidson. "A Two-Dimensional Formulation for Path-Placement in the Workcells of Planar 3-R Robots." Journal of Mechanical Design 117, no. 3 (1995): 479–84. http://dx.doi.org/10.1115/1.2826703.

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A new systematic formulation is presented that determines suitable locations for a workpiece, and its associated task-motion, in the workspace of a three-hinged planar (SCARA) robotic workcell. It determines all acceptable positions for the first joint of the robot relative to the workpiece; therefore, all solutions are represented as an area in two dimensions, unlike existing methods of motion-planning that present them as a volume in a three-dimensional joint-space for the same planar robot. This simplifies the solution-space by reducing its dimension from three to two. All possible acceptab

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26

Refaat, Tarek K., Ramez M. Daoud, and Hassanein H. Amer. "Wireless Fault-Tolerant Controllers in Cascaded Industrial Workcells Using Wi-Fi and Ethernet." Intelligent Control and Automation 04, no. 04 (2013): 349–55. http://dx.doi.org/10.4236/ica.2013.44041.

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27

Xu Su. "A Novel Multi-robot Workcells Designing and Positioning Method in Three-dimensional Space." International Journal of Advancements in Computing Technology 4, no. 19 (2012): 1–9. http://dx.doi.org/10.4156/ijact.vol4.issue19.1.

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28

Ramirez-Serrano, A., C. Sriskandarajah, and B. Benhabib. "Automata-based modeling and control synthesis for manufacturing workcells with part-routing flexibility." IEEE Transactions on Robotics and Automation 16, no. 6 (2000): 807–23. http://dx.doi.org/10.1109/70.897791.

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29

Tipary, Bence, and Gábor Erdős. "Generic development methodology for flexible robotic pick-and-place workcells based on Digital Twin." Robotics and Computer-Integrated Manufacturing 71 (October 2021): 102140. http://dx.doi.org/10.1016/j.rcim.2021.102140.

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30

Gašpar, Timotej, Miha Deniša, Primož Radanovič, et al. "Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells." Robotics and Computer-Integrated Manufacturing 66 (December 2020): 101979. http://dx.doi.org/10.1016/j.rcim.2020.101979.

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31

Caselli, Stefano, Constantinos Papaconstantinou, Keith L. Doty, and Shamkant Navathe. "A structure-function-control paradigm for knowledge-based modeling and design of manufacturing workcells." Journal of Intelligent Manufacturing 3, no. 1 (1992): 11–30. http://dx.doi.org/10.1007/bf01471748.

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32

Ashton, N. S., M. M. Charif, and J. K. Davidson. "Generic features for resolving the redundancy in one class of seven-jointed robotic workcells." Mechanism and Machine Theory 30, no. 3 (1995): 341–61. http://dx.doi.org/10.1016/0094-114x(94)00047-o.

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33

PARK, TAEHO, and HAROLD J. STEUDEL. "A model for determining job throughput times for manufacturing flow line workcells with finite buffers." International Journal of Production Research 29, no. 10 (1991): 2025–41. http://dx.doi.org/10.1080/00207549108948065.

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34

Gualtieri, Luca, Erwin Rauch, Renato Vidoni, and Dominik T. Matt. "An evaluation methodology for the conversion of manual assembly systems into human-robot collaborative workcells." Procedia Manufacturing 38 (2019): 358–66. http://dx.doi.org/10.1016/j.promfg.2020.01.046.

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35

Bruno, Giulia, and Dario Antonelli. "Dynamic task classification and assignment for the management of human-robot collaborative teams in workcells." International Journal of Advanced Manufacturing Technology 98, no. 9-12 (2018): 2415–27. http://dx.doi.org/10.1007/s00170-018-2400-4.

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36

Aghazadeh, Fereydoun, Robert Hirschfeld, and Robert Chapleski. "Industrial Robot Use: Survey Results and Hazard Analysis." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 14 (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 up

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37

Davidson, J. K. "A Synthesis Procedure for Design of 3-R Planar Robotic Workcells in Which Large Rotations Are Required at the Workpiece." Journal of Mechanical Design 114, no. 4 (1992): 547–58. http://dx.doi.org/10.1115/1.2917042.

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A new method is developed for determining both a satisfactory location of a workpiece and a suitable mounting-angle of the tool for planar 3-R robots that can provide dexterous workspace. The method is an adaptation of traditional techniques of linkage synthesis, and it is particularly well-suited to applications in which the motion-trajectory requires large rotations of the end-effector. It is determined that, when the trajectory requires that the end-effector rotate a full turn at just two locations and when the critical joint in the robot is rotatable by one turn, then the radial location o

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38

Beregi, Richárd, Gianfranco Pedone, Borbála Háy, and József Váncza. "Manufacturing Execution System Integration through the Standardization of a Common Service Model for Cyber-Physical Production Systems." Applied Sciences 11, no. 16 (2021): 7581. http://dx.doi.org/10.3390/app11167581.

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Digital transformation and artificial intelligence are creating an opportunity for innovation across all levels of industry and are transforming the world of work by enabling factories to embrace cutting edge Information Technologies (ITs) into their manufacturing processes. Manufacturing Execution Systems (MESs) are abandoning their traditional role of legacy executing middle-ware for embracing the much wider vision of functional interoperability enablers among autonomous, distributed, and collaborative Cyber-Physical Production System (CPPS). In this paper, we propose a basic methodology for

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39

Davidson, J. K., and N. A. Soman. "Limits at $3 in a New Formulation for Path-Placement in the Workcells of Planar 3-R Robots." Journal of Mechanical Design 117, no. 3 (1995): 485–90. http://dx.doi.org/10.1115/1.2826704.

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Excursion-limits at the third joint of a three-hinged planar robot are incorporated into a new systematic formulation for path-placement in which the three-dimensional solution-space is decomposed into a two-dimensional space of variables that strongly control the placement of the path and a one-dimensional space that is much less critical. The new formulation determines all acceptable positions for the first joint of the robot relative to the workpiece. All possible acceptable designs appear in a graphical form that can be readily visualized and be directly measured in a Cartesian frame of re

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40

Gung, R. R. "A workload balancing model for determining set-up time and batch size reductions in GT flow line workcells." International Journal of Production Research 37, no. 4 (1999): 769–91. http://dx.doi.org/10.1080/002075499191517.

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41

Hawker, Charles D., William L. Roberts, Antonio DaSilva, et al. "Development and Validation of an Automated Thawing and Mixing Workcell." Clinical Chemistry 53, no. 12 (2007): 2209–11. http://dx.doi.org/10.1373/clinchem.2007.094185.

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Abstract Background: Working toward a goal of total laboratory automation, we are automating manual activities in our highest volume laboratory section. Because half of all specimens arriving in this laboratory section are frozen, we began by developing an automated workcell for thawing frozen specimens and mixing the thawed specimens to remove concentration gradients resulting from freezing and thawing. Methods: We developed an initial robotic workcell that removed specimens from the transport system’s conveyor, blew high-velocity room temperature air at the tubes, mixed them, and replaced th

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42

Singh, Satwinder, and Ekta Singla. "Service Arms with Unconventional Robotic Parameters for Intricate Workstations: Optimal Number and Dimensional Synthesis." Journal of Robotics 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/3537068.

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A task-oriented design strategy is presented in this paper for service manipulators. The tasks are normally defined in the form of working locations where the end-effector can work while avoiding the obstacles. To acquire feasible solutions in cluttered environments, the robotic parameters (D-H parameters) are allowed to take unconventional values. This enhances the solution space and it is observed that, by inducing this flexibility, the required number of degrees of freedom for fulfilling a given task can be reduced. A bilevel optimization problem is formulated with the outer layer utilizing

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43

Dobiš, Michal, Jakub Ivan, Martin Dekan, František Duchoň, Andrej Babinec, and Róbert Málik. "A Next-Best-View Method for Complex 3D Environment Exploration Using Robotic Arm with Hand-Eye System." Applied Sciences 15, no. 14 (2025): 7757. https://doi.org/10.3390/app15147757.

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The ability to autonomously generate up-to-date 3D models of robotic workcells is critical for advancing smart manufacturing, yet existing Next-Best-View (NBV) methods often rely on paradigms ill-suited for the fixed-base manipulators found in dynamic industrial environments. To address this gap, this paper proposes a novel NBV method for the complete exploration of a 6-DOF robotic arm’s workspace. Our approach integrates collision-based information gain metric, a potential field technique to generate candidate views from exploration frontiers, and a tunable fitness function to balance informa

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44

Chen, I.-Ming, and Guilin Yang. "Automatic Model Generation for Modular Reconfigurable Robot Dynamics." Journal of Dynamic Systems, Measurement, and Control 120, no. 3 (1998): 346–52. http://dx.doi.org/10.1115/1.2805408.

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In control and simulation of a modular robot system, which consists of standardized and interconnected joint and link units, manual derivation of its dynamic model needs tremendous effort because these models change all the time as the robot geometry is altered after module reconfiguration. This paper presents a method to automate the generation of the closed-form equation of motion of a modular robot with arbitrary degrees-of-freedom and geometry. The robot geometry we consider here is branching type without loops. A graph technique, termed kinematic graphs and realized through assembly incid

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45

Spada, Stefania, Fabrizio Sessa, and Francesco Corato. "Virtual Reality tools and statistical analysis for human movements simulation. Application to ergonomics optimization of workcells in the automotive industry." Work 41 (2012): 6120–26. http://dx.doi.org/10.3233/wor-2012-1071-6120.

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46

PARK, T. "A reply to comments on ‘A model for determining job throughput times for manufacturing flow line workcells with finite buffers’." International Journal of Production Research 30, no. 9 (1992): 2231–133. http://dx.doi.org/10.1080/00207549208948148.

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47

Bi, Zhuming, Guoping Wang, and Li Da Xu. "A visualization platform for internet of things in manufacturing applications." Internet Research 26, no. 2 (2016): 377–401. http://dx.doi.org/10.1108/intr-02-2014-0043.

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Purpose – The purpose of this paper is to present a visualization platform to control and monitor wireless sensor networks (WSNs) in manufacturing applications. Design/methodology/approach – To make the platform flexible and versatile, a modular framework is adopted in modeling and visualizing WSNs. The Eclipse programming environment is used to maximize the scalability and adaptability of the platform. A set of the core functional modules have been designed and implemented to support the system operation. The platform is validated through a case study simulation. Findings – The platform is ca

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48

Lippi, Giuseppe, Mario Plebani, and Emmanuel Favaloro. "Technological Advances in the Hemostasis Laboratory." Seminars in Thrombosis and Hemostasis 40, no. 02 (2014): 178–85. http://dx.doi.org/10.1055/s-0033-1364206.

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Automation is conventionally defined as the use of machines, control systems, and information technologies to optimize productivity. Although automation is now commonplace in several areas of diagnostic testing, especially in clinical chemistry and immunochemistry, the concept of extending this process to hemostasis testing has only recently been advanced. The leading drawbacks are still represented by the almost unique biological matrix because citrated plasma can only be used for clotting assays and few other notable exceptions, and by the highly specific pretreatment of samples, which is pa

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49

Ceccarelli, Marco. "Analyzing a Robotized Workcell to Enhance Robot’s Operation." Journal of Robotics and Mechatronics 11, no. 1 (1999): 67–71. http://dx.doi.org/10.20965/jrm.1999.p0067.

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This paper analyzes robotized manipulation in the production of TV screens in a Videocolor plant in Anagni. A general procedure for manipulation analysis, based on the elementary actions concept, was applied to the study of robotized workcell performance and parameters. Manipulation analysis is presented as a practical application to stress its feasibility for practicing engineers. Kinescope manipulation by an industrial robot in a robotized workcell was analyzed and critical movement recognized and numerically evaluated. We also focused on performance and design parameters of workcell operati

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50

Alkady, Gehad I., Ramez M. Daoud, Hassanein H. Amer, Yves Sallez, and Hani F. Ragai. "Dual-Level Fault-Tolerant FPGA-Based Flexible Manufacturing System." Designs 9, no. 3 (2025): 56. https://doi.org/10.3390/designs9030056.

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This paper proposes a fault-tolerant flexible manufacturing system (FMS) that features a dual-level fault tolerance mechanism at both the workcell and system levels to enhance reliability. The workcell controller was implemented on a Field Programmable Gate Array (FPGA). Reconfigurable duplication was used as the first level of fault tolerance at the workcell level. It was shown how to detect and recover from FPGA faults such as Single Event Upsets (SEUs), hard faults, and Single Event Functional Interrupts (SEFIs). The prototype of the workcell controller was successfully implemented using tw

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