DocumentCode
329982
Title
Real-time orientation-invariant trajectory learning in human-robot interactions
Author
Luh, J.Y.S. ; Hu, Shuyi
Author_Institution
Clemson Univ., SC, USA
Volume
2
fYear
1998
fDate
13-17 Oct 1998
Firstpage
918
Abstract
Trajectory/profile in human-robot cooperative tasks is investigated for real-time identification and learning. The method of three-distances and its association with specific spherical and Cartesian coordinates are presented which are invariant to rotation/translation, and insensitive to disturbance. These methods are illustrated via computer simulations
Keywords
digital simulation; man-machine systems; manipulators; position control; robot programming; Cartesian coordinates; human-robot cooperative tasks; human-robot interactions; real-time identification; real-time orientation-invariant trajectory learning; rotation invariance; spherical coordinates; three-distances method; translation invariance; Artificial intelligence; Computer simulation; Equations; Humans; Intelligent robots; Labeling; Manipulators; Orbital robotics; Robot kinematics; Robotics and automation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 1998. Proceedings., 1998 IEEE/RSJ International Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-4465-0
Type
conf
DOI
10.1109/IROS.1998.727317
Filename
727317
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