Human–Robot Collaborative Assembly Based on Eye-Hand and a Finite State Machine in a Virtual Environment
Keyword(s):
With the development of the global economy, the demand for manufacturing is increasing. Accordingly, human–robot collaborative assembly has become a research hotspot. This paper aims to solve the efficiency problems inherent in traditional human-machine collaboration. Based on eye–hand and finite state machines, a collaborative assembly method is proposed. The method determines the human’s intention by collecting posture and eye data, which can control a robot to grasp an object, move it, and perform co-assembly. The robot’s automatic path planning is based on a probabilistic roadmap planner. Virtual reality tests show that the proposed method is more efficient than traditional methods.
2007 ◽
Vol 17
(4)
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pp. 565-575
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2015 ◽
Vol 24
(07)
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pp. 1550101
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2017 ◽
Vol 13
(08)
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pp. 147
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2008 ◽
Vol 19
(02)
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pp. 453-476
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2021 ◽
Vol 2066
(1)
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pp. 012063