Seamless Human–Robot Collaborative Assembly Using Artificial Intelligence and Wearable Devices

Applied Sciences

Theodoros Togias¹  George Michalos¹  Natalia Zacharaki¹  Nikos Dimitropoulos¹  Sotiris Makris¹ 

[1] Laboratory for Manufacturing Systems and Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, 26504 Patras, Greece;

关键词: human–robot collaboration;    assembly;    artificial intelligence;    augmented reality;    digital twin;    programming;   

DOI  :  10.3390/app11125699

来源: DOAJ

【 摘 要 】

Seamless human–robot collaboration requires the equipping of robots with cognitive capabilities that enable their awareness of the environment, as well as the actions that take place inside the assembly cell. This paper proposes an AI-based system comprised of three modules that can capture the operator and environment status and process status, identify the tasks that are being executed by the operator using vision-based machine learning, and provide customized operator support from the robot side for shared tasks, automatically adapting to the operator’s needs and preferences. Moreover, the proposed system is able to assess the ergonomics in human–robot shared tasks and adapt the robot pose to improve ergonomics using a heuristics-based search algorithm. An industrial case study derived from the elevator manufacturing sector using a high payload collaborative robot is presented to demonstrate that collaboration efficiency can be enhanced through the use of the discussed system.

【 授权许可】

Unknown