DocumentCode
1399702
Title
Motion planning of walking robots using ordinal optimization
Author
Chen, Chun-Hung ; Kumar, Vijay ; Luo, Yuh-chun
Author_Institution
Pennsylvania Univ., Philadelphia, PA, USA
Volume
5
Issue
2
fYear
1998
fDate
6/1/1998 12:00:00 AM
Firstpage
22
Lastpage
32
Abstract
A general approach for coordinating the legs of a multi-legged statically stable walking machine on an uneven terrain. The method of ordinal optimization is used to find a good motion plan for low travel time that specifies the footholds and the gait of the walking machine. Numerical simulations illustrate the approach and demonstrate that we can find a good motion plan for uneven terrain with high complexity in a reasonably short time.
Keywords
legged locomotion; optimisation; path planning; robot dynamics; search problems; footholds; gait; motion planning; multi-legged statically stable walking machine; ordinal optimization; uneven terrain; walking robots; Azimuth; Biological system modeling; Biological systems; Insects; Leg; Legged locomotion; Motion planning; Navigation; Robot kinematics; Robot sensing systems;
fLanguage
English
Journal_Title
Robotics & Automation Magazine, IEEE
Publisher
ieee
ISSN
1070-9932
Type
jour
DOI
10.1109/100.692337
Filename
692337
Link To Document