Title :
Robust and adaptive locomotion of an autonomous hexapod
Author :
Ferrell, Cynthia
Author_Institution :
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
Abstract :
This paper explores the viability of using cooperation among local controllers to achieve coherent global behavior. Our approach is to decompose a difficult control last for a complex robot into a multitude of simpler control tasks for robotic subsystems. We illustrate and examine the effectiveness of this approach via rough terrain locomotion using an autonomous hexapod robot. Traversing rough terrain is a good task to test the viability of this approach because it requires a considerable amount of leg coordination. We found that implementing a complicated global task with cooperating local controllers can effectively control complex robots.
Keywords :
cooperative systems; intelligent control; legged locomotion; mobile robots; path planning; adaptive locomotion; autonomous hexapod; coherent global behavior; complicated global task; cooperating local controllers; leg coordination; robotic subsystems; rough terrain locomotion; Artificial intelligence; Intelligent sensors; Laboratories; Leg; Legged locomotion; Robot control; Robot kinematics; Robot sensing systems; Robustness; Testing;
Conference_Titel :
From Perception to Action Conference, 1994., Proceedings
Print_ISBN :
0-8186-6482-7
DOI :
10.1109/FPA.1994.636083