Victor S. Sokolov
Postgraduate Student, Sirius University of Science and Technology, Scientific Center for Information Technologies and Artificial Intelligence, Direction «Mathematical Robotics and Artificial Intelligence», Junior Research Scientist, 12, Voskresenskaya ul., federal territory «Sirius», Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Danil D. Kulminskiy
PhD in Physics and Mathematics, Sirius University of Science and Technology, Scientific Center for Information Technologies and Artificial Intelligence, Direction «Mathematical Robotics and Artificial Intelligence», Research Scientist, 27, Parusnaya ul., federal territory «Sirius», Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., ORCID: 0000-0002-3936-2813
Received January 15, 2024
Abstract
Threaded joints are widely used in the assembly process and consume many hours of the workers, despite availability of electrified tools. Most existing assembly automation approaches are neither adaptive nor robust, and therefore require the constant presence of an operator. Versatility in industrial robotic applications is mainly achieved by automatically changing instruments, programming robots efficiently, and using special mechanical fixtures for each specific operation. However, for a system to be versatile, it must be able to handle small changes in part geometry and positioning without the use of special fixtures and robot reprogramming. A prototype of an automatic threaded assembly system based on an IRB1600 industrial manipulator has been developed. Solutions are based on the force sensor software libraries and vision camera which are provided with the manipulator. Moreover, a low-level interface is also used, which ensures scalability of the solution to other platforms and manipulators.
Key words
Robotics, assembly, automation, industrial manipulator, force sensor.
Acknowledgements
The research was supported by the RSF grant No. 23-79-10213, https://www.rscf.ru/project/23-79-10213/.
DOI
10.31776/RTCJ.12407
Bibliographic description
Sokolov, V.S. and Kulminskiy, D.D. (2024), "Prototype of a robust screw-thread assembly system based on industrial manipulator using force-torque control methods", Robotics and Technical Cybernetics, vol. 12, no. 4, pp. 296-304, DOI: 10.31776/RTCJ.12407. (in Russian).
UDC identifier
658.52.011.56:007.52:621.865.8
References
- Narang, Y. et al. (2022), “Factory: Fast Contact for Robotic Assembly”, In: Proceedings of Robotics: Science and Systems (RSS), DOI: 10.15607/RSS.2022.XVIII.035.
- Falco, J. et al. (2020), “Benchmarking Protocols for Evaluating Grasp Strength, Grasp Cycle Time, Finger Strength, and Finger Repeatability of Robot End-Effectors”, IEEE Robotics and Automation Letters 5, pp. 644-651, DOI: 10.1109/LRA.2020.2964164.
- Lian, W. et al. (2021), “Benchmarking off-the-shelf solutions to robotic assembly tasks”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1046–1053, DOI: 10.1109/IROS51168.2021.9636586.
- von Drigalski, F. et al. (2020), “Robots assembling machines: learning from the World Robot Summit 2018 Assembly Challenge”, Advanced Robotics, 34:7-8, pp. 408-421, DOI: 10.1080/01691864.2019.1705910.
- Inoue, T. et al (2017), “Deep reinforcement learning for high precision assembly tasks”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 819-825, DOI: 10.1109/IROS.2017.8202244.
- Jia, Z. et al. (2019), “A Survey of Automated Threaded Fastening”, IEEE Transactions on Automation Science and Engineering, 16(1), pp. 298-310, DOI: 10.1109/TASE.2018.2835382.
- Vukobratovic, M. and Tuneski, A. (1994), “Contact control concepts in manipulation robotics/spl minus/an overview”, IEEE Transactions on Industrial Electronics, 41(1), pp. 12-24, DOI: 10.1109/41.281603.
- Thomas, G. et al. (2018), “Learning Robotic Assembly from CAD”, IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, Australia, pp. 3524-3531, DOI: 10.1109/ICRA.2018.8460696.
- Whitney, D. (1985), “Historical perspective and state of the art in robot force control”. 1985 IEEE International Conference on Robotics and Automation, St. Louis, MO, USA, pp. 262-268, DOI: 10.1109/ROBOT.1985.1087266.
- Zeng, G. and Hemami, A. (1997), “An overview of robot force control”, Robotica, 15(5), pp. 473-482, DOI: 10.1017/S026357479700057X.
- ABB Library (2024), Technical reference manual - RAPID overview, [Online], available at: https://library.abb.com/d/3HAC050947-001 [Accessed 15 January, 2024].
- ABB Library (2024), IRB 1600/1660, Product specification, [Online], available at: https://library.abb.com/d/3HAC023604-003 [Accessed 12 January, 2024].
- ABB Library (2024), Application manual - Force Control References, [Online], available at: https://library.abb.com/d/3HAC050377-001 [Accessed 15 January, 2024].
- ABB Library (2024), Application manual - Integrated Vision (IRC5), [Online], available at: https://library.abb.com/d/3HAC044251-001 [Accessed 15 January, 2024].
- ABB Library (2024), Application manual - Externally Guided Motion RW6, [Online], available at: https://library.abb.com/d/3HAC073319-001 [Accessed 15 January, 2024].
- Shabalina, K. el al. (2020), “ARTag, AprilTag and CALTag Fiducial Systems Comparison in a Presence of Partial Rotation: Manual and Automated Approaches”, Informatics in Control, Automation and Robotics, 536–558, DOI: 10.1007/978-3-030-11292-9_27.