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Survey on Recent Advances in Planning and Control for Collaborative Robotics

Ya‐Jun Pan, Scott W. Buchanan, Qiguang Chen, Lucas Wan, Nuo Chen, Shane Forbrigger, Sean Smith

Year
2024
Citations
5
Access
Open access

Abstract

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.

Keywords

RoboticsArtificial intelligenceComputer scienceControl (management)Systems engineeringControl engineeringEngineeringRobot

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