DocumentCode :
306223
Title :
Modeling planar assembly paths from observation
Author :
Paul, George V. ; Ikeuchi, Katsushi
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
2
fYear :
1996
fDate :
4-8 Nov 1996
Firstpage :
520
Abstract :
This paper describes a system for obtaining the motion plan for a planar assembly task, given a sequence of observations of a human performing the task. The motion plan in configuration space is a series of connected path segments lying outside and on the configuration space obstacle. We use the observed configurations of the assembled objects to selectively compute the features of the c-space obstacle on which the path lies. We project the observed configurations onto these features and reconstruct the path segments. The connected path segments form the model of the observed task and can be used to program a robot to repeat the task. We demonstrate the system using the planar peg in hole task
Keywords :
assembling; computational geometry; computer vision; industrial manipulators; learning systems; path planning; robot programming; configuration space; human performance observation; modeling; motion planning; path segment reconstruction; peg in hole task; planar assembly paths; robot programming; Assembly systems; Combinatorial mathematics; Humans; Layout; Machine vision; Orbital robotics; Path planning; Real time systems; Robotic assembly; Robotics and automation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems '96, IROS 96, Proceedings of the 1996 IEEE/RSJ International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-7803-3213-X
Type :
conf
DOI :
10.1109/IROS.1996.570845
Filename :
570845
Link To Document :
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