Safe human–robot collaboration for industrial settings: a survey

Weidong Li (), Yudie Hu, Yong Zhou and Duc Truong Pham
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Weidong Li: University of Shanghai for Science and Technology
Yudie Hu: Wuhan University of Technology
Yong Zhou: Wuhan University of Technology
Duc Truong Pham: University of Birmingham

Journal of Intelligent Manufacturing, 2024, vol. 35, issue 5, No 17, 2235-2261

Abstract: Abstract Human–robot collaboration (HRC) plays a pivotal role in today’s industry by supporting increasingly customised product development. Via HRC, the strengths of humans and robots can be combined to facilitate collaborative jobs within common workplaces to achieve specific industrial goals. Given the significance of safety assurance in HRC, in this survey paper, an update on standards and implementation approaches presented in the latest literature is given to reflect the state-of-the-art of this prominent research topic. First, an overview of safety standards for industrial robots, collaborative robots, and HRC is provided. Then, a survey of various approaches to HRC safety is conducted from two main perspectives, i.e., pre-collision and post-collision, which are further detailed in the aspects of sensing, prediction, learning, planning/replanning, and compliance control. Major characteristics, pros, cons, and applicability of the approaches are analysed. Finally, challenging issues and prospects for the future development of HRC safety are highlighted to provide recommendations for relevant stakeholders to consider when designing HRC-enabled industrial systems.

Keywords: Human–robot collaboration (HRC); Collaborative robots; Safety; Collision detection; Obstacle avoidance (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10845-023-02159-4

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