Survey on Recent Advances in Planning and Control for Collaborative Robotics

被引：0
作者：
Pan, Ya-Jun [1 ]
Buchanan, Scott [1 ]
Chen, Qiguang [1 ]
Wan, Lucas [1 ]
Chen, Nuo [1 ]
Forbrigger, Shane [1 ]
Smith, Sean [1 ]
机构：
[1] Dalhousie Univ, Dept Mech Engn, Adv Control & Mechatron Lab, Halifax, NS B3H 4R2, Canada
来源：
IEEJ JOURNAL OF INDUSTRY APPLICATIONS | 2025年 / 14卷 / 02期
基金：
加拿大自然科学与工程研究理事会;
关键词：
planning and control; collaborative robots; learning from demonstration; Co-manipulation; human-robot interaction; reinforcement learning; MULTIPLE MOBILE MANIPULATORS; VARIABLE ADMITTANCE CONTROL; IMPEDANCE CONTROL; MOTION; SYSTEMS; DESIGN; TELEOPERATION; OPTIMIZATION; COOPERATION; FRAMEWORK;
D O I：
10.1541/ieejjia.24005652
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Collaborative robots (COBOTs) can efficiently assist humans in interactions with robots and the environment when carrying out different tasks. They take advantage of the flexibility and cognitive decision-making skills of humans along with the speed, accuracy, strength, and reliability of robots. Interest in this research area has grown rapidly in recent years and there are applications in many areas, such as smart factories, health services, agriculture, service sector and surveillance. This paper reviews the state-of-the-art of planning and control strategies for collaborative robots. The survey includes various advanced approaches for motion planning, task planning, cooperative bimanual manipulation, cooperative mobile manipulation, learning from demonstration, exoskeletons and conjoined collaboration, and collaborative aerial robotics. A discussion of the challenges and future directions for the proposed research area are presented. This paper offers a comprehensive survey and insight for new researchers in the area.
引用
收藏
页码：139 / 151
页数：13
相关论文
共 123 条
  • [1] Mittal S., Tolk A., Complexity challenges in Cyber Physical Systems: using modeling and simulation to support intelligence, adaptation and autonomy, (2020)
  • [2] Kadir A., Broberg O., Souza da Conceicao C., Designing human-robot collaborations in Industry 4.0: explorative case studies, Proceedings of the DESIGN 2018 15th International Design Conference, pp. 601-610, (2018)
  • [3] Seshia S.A., Hu S., Li W., Zhu Q., Design automation of Cyber-physical Systems: challenges, advances, and opportunities, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 36, 9, pp. 1421-1434, (2016)
  • [4] Barata J., Kayser I., Industry 5.0 - past, present, and near future, Procedia Computer Science, 219, pp. 778-788, (2023)
  • [5] Kumar S., Savur C., Sahin F., Survey of human-robot collaboration in industrial settings: awareness, intelligence, and compliance, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 1, pp. 280-297, (2021)
  • [6] Ajoudani A., Zanchettin A.M., Ivaldi S., Albu-Schaffer A., Kosuge K., Khatib O., Progress and prospects of the human-robot collaboration, Autonomous Robots, 42, 5, pp. 957-975, (2018)
  • [7] Khatib O., The age of human-robot collaboration, ROMANSY 22-Robot Design, Dynamics and Control: Proceedings of the 22nd CISM IFToMM Symposium, pp. 9-9, (2019)
  • [8] He W., Sun Y., Yan Z., Yang C., Li Z., Kaynak O., Disturbance observer-based neural network control of cooperative multiple manipulators with input saturation, IEEE Transactions on Neural Networks and Learning Systems, 31, 5, pp. 1735-1746, (2019)
  • [9] Erhart S., Hirche S., Adaptive force/velocity control for multi-robot cooperative manipulation under uncertain kinematic parameters, Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 307-314, (2013)
  • [10] Shen H.H., Pan Y.-J., Tracking synchronization improvement of networked manipulators using novel adaptive non-singular terminal sliding mode control, IEEE Transactions on Industrial Electronics, 68, 5, pp. 4279-4287, (2020)
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