Survey on Recent Advances in Planning and Control for Collaborative Robotics

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.

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Institutions

Publication Details

Journal
IEEJ Journal of Industry Applications
Published
2024-10-10
DOI
https://doi.org/10.1541/ieejjia.24005652
Citations
5
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
1.06

Funders

Controls
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article

Survey on Recent Advances in Planning and Control for Collaborative Robotics

Shane Forbrigger, Nuo Chen, Scott W. Buchanan, Lucas Wan et al.
5 citations
IEEJ Journal of Industry Applications
Modular Robots and Swarm Intelligence
1.06
article

Survey on Recent Advances in Planning and Control for Collaborative Robotics

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

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.

IEEJ Journal of Industry ApplicationsVol. 14(2)
Dalhousie University (CA)
Canadian Institute for Advanced Research, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 26%
Modular Robots and Swarm Intelligence
1.06
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