DocumentCode :
305478
Title :
Planning for parts-picking tasks by using multi-sensor visual system
Author :
Okada, Nobuhiro ; Nagata, Tadashi ; Zha, Hongbin
Author_Institution :
Fac. of Eng., Kyushu Univ., Fukuoka, Japan
Volume :
2
fYear :
1996
fDate :
5-10 Aug 1996
Firstpage :
737
Abstract :
In a parts-picking system, it is frequently required not to pull down a stack to avoid damage of products and to improve manipulation performances. Pulling down a stack is caused not only by collision between a manipulator and parts but also by picking a part that supports another. To keep away from the pulling-down side effect, we constructed a sensor system for the parts-picking operation. The system checks if picking a part may make other parts unstable and estimates the possibility of the collision. Taking them into account, the system determines the order of the picking operations among parts that can be reliably picked. Results of experiments show that, using the sensor system, we can largely reduce the possibility of the pulling-down occurrence
Keywords :
manipulators; optical sensors; path planning; robot vision; collision possibility estimation; manipulation performance; multi-sensor visual system; parts-picking operation; parts-picking tasks planning; pulling-down occurrence; pulling-down side effect; sensor system; Cameras; Charge-coupled image sensors; Educational robots; Machine vision; Performance evaluation; Production facilities; Robot sensing systems; Sensor systems; Service robots; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1996., Proceedings of the 1996 IEEE IECON 22nd International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-2775-6
Type :
conf
DOI :
10.1109/IECON.1996.565969
Filename :
565969
Link To Document :
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