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
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