Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.mfglet.2013.08.001
Title: Vision-guided active collision avoidance for human-robot collaborations
Authors: Wang, L.
Schmidt, B.
Nee, A.Y.C. 
Keywords: Human-robot collaboration
Monitoring
Robot
Issue Date: Oct-2013
Source: Wang, L.,Schmidt, B.,Nee, A.Y.C. (2013-10). Vision-guided active collision avoidance for human-robot collaborations. Manufacturing Letters 1 (1) : 5-8. ScholarBank@NUS Repository. https://doi.org/10.1016/j.mfglet.2013.08.001
Abstract: This paper reports a novel methodology of real-time active collision avoidance in an augmented environment, where virtual 3D models of robots and real camera images of operators are used for monitoring and collision detection. A prototype system is developed and linked to robot controllers for adaptive robot control, with zero robot programming for end users. According to the result of collision detection, the system can alert an operator, stop a robot, or modify the robot's trajectory away from an approaching operator. Through a case study, it shows that this method can be applied to real-world applications such as human-robot collaborative assembly to safeguard human operators. © 2013 Society of Manufacturing Engineers (SME).
Source Title: Manufacturing Letters
URI: http://scholarbank.nus.edu.sg/handle/10635/85829
ISSN: 22138463
DOI: 10.1016/j.mfglet.2013.08.001
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