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Vision-guided active collision avoidance for human-robot collaborations
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- Wang, Lihui (author)
- KTH,Högskolan i Skövde,Institutionen för teknik och samhälle,Forskningscentrum för Virtuella system,Department of Production Engineering, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden,Industriell produktion,Sustainable Manufacturing
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- Schmidt, Bernard (author)
- Högskolan i Skövde,Institutionen för teknik och samhälle,Forskningscentrum för Virtuella system
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- Nee, Andrew Y. C. (author)
- Department of Mechanical Engineering, National University of Singapore
- (creator_code:org_t)
- Elsevier, 2013
- 2013
- English.
- In: Manufacturing Letters. - : Elsevier. - 2213-8463. ; 1:1, s. 5-8
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Robotteknik och automation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Robotics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering (hsv//eng)
Keyword
- Human-robot collaboration
- Monitoring
- Robot
- Technology
- Teknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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