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Learning skills : robotics technology in automotive powertrain assembly

Zhang,H, Gan,Z, Brogard,T, Wang,J and Isaksson,M 2004, Learning skills : robotics technology in automotive powertrain assembly, ABB review, vol. 1, pp. 13-16.

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Title Learning skills : robotics technology in automotive powertrain assembly
Author(s) Zhang,H
Gan,Z
Brogard,T
Wang,J
Isaksson,M
Journal name ABB review
Volume number 1
Start page 13
End page 16
Total pages 4
Publisher A B B Corporate Management Services AG
Place of publication Zurich, Switzerland
Publication date 2004
ISSN 1013-3119
Keyword(s) robotics technology
automotive powertrain assembly
Summary The past 40 years have seen industrial robots establish their superiority over humans in most areas of manufacturing requiring endurance or repeatability. One important application domain, however, has so far lagged behind the industry’s expectations: mechanical assembly. As fast, precise and dependable as they are, traditional industrial robots just don’t seem able to perform certain assembly operations as well as a skilled human worker. A task as simple as screwing a light bulb into a lamp socket shows why. Applying the right amount of force and turning the bulb at just the right time, at exactly the right angle, is something a human does intuitively. How can a robot be programmed to do this? For robots to successfully emulate humans on an assembly line, they need to have force-sensing capability and exhibit compliance. They must be able to direct forces and moments in a controlled way, and react to contact information. New robot force control technology from ABB shows how.
Language eng
Field of Research 091002 Flexible Manufacturing Systems
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category C3.1 Non-refereed articles in a professional journal
ERA Research output type X Not reportable
Copyright notice ©2004, ABB Corporate Management Services AG
Persistent URL http://hdl.handle.net/10536/DRO/DU:30067888

Document type: Journal Article
Collections: Centre for Intelligent Systems Research
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.