Title :
AI solutions for semi-autonomous legged robots
Author :
Galt, S. ; Kalyvas, T. ; Pasparakis, G. ; Luk, B.L. ; Virk, G.S.
Author_Institution :
Mobile Robotics Group, Univ. of Portsmouth, UK
Abstract :
The recent success of heuristic methods using intelligent design techniques such as fuzzy logic, neural networks and genetic algorithms could present possible improvements due to their ability to handle nonlinearities, robustness and their capacity to perform in non-ideal situations. These methods are considered here for possible use in the coordination of the motion of Robug III, an eight-legged, pneumatically-powered climbing and walking robot designed by the Mobile Robotics Group (MRG) at the University of Portsmouth in conjunction with Portech Ltd. and European partners. Emphasis is placed on developing suitable strategies for the control of leg trajectories as well as the overall leg coordination
Keywords :
legged locomotion; Mobile Robotics Group; Portech; Robug III; University of Portsmouth; climbing robot; data fusion; hierarchical control; leg coordination; leg trajectory control; motion control; nonlinearities; path planning; robustness; semiautonomous legged robots; walking robot;
Conference_Titel :
Information Technology for Climbing and Walking Robots (DIgest No. 1996/167), IEE Colloquium on
Conference_Location :
Portsmouth
DOI :
10.1049/ic:19960967