DocumentCode
2913725
Title
Interactions and motions in human-robot coordination
Author
Luh, J.Y.S. ; Hu, Shuyi
Author_Institution
Clemson Univ., SC, USA
Volume
4
fYear
1999
fDate
1999
Firstpage
3171
Abstract
In human-robot cooperative tasks, the robot is required to memorize different trajectories for different assignments, and retrieve a proper one from them in real-time for the robot to follow when an assignment is repeated. A three-point representation of the space curves is translation/rotation/scaling invariant. Schemes of matching positions by vectors, and orientations by matrices are efficient in that computing time is short enough for real-time implementations. Physical experiments are performed to illustrate and verify the analytical results
Keywords
compliance control; learning (artificial intelligence); man-machine systems; matrix algebra; position control; cooperative tasks; human-robot coordination; rotation invariance; scaling invariance; space curves; three-point representation; translation invariance; Coordinate measuring machines; Force measurement; Human robot interaction; Motion control; Motion measurement; Orbital robotics; Performance analysis; Robot kinematics; Robot sensing systems; Wrist;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
Conference_Location
Detroit, MI
ISSN
1050-4729
Print_ISBN
0-7803-5180-0
Type
conf
DOI
10.1109/ROBOT.1999.774081
Filename
774081
Link To Document