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Proceedings Paper

Terrain discovery and navigation of a multi-articulated linear robot using map-seeking circuits
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Paper Abstract

A significant challenge in robotics is providing a robot with the ability to sense its environment and then autonomously move while accommodating obstacles. The DARPA Grand Challenge, one of the most visible examples, set the goal of driving a vehicle autonomously for over a hundred miles avoiding obstacles along a predetermined path. Map-Seeking Circuits have shown their biomimetic capability in both vision and inverse kinematics and here we demonstrate their potential usefulness for intelligent exploration of unknown terrain using a multi-articulated linear robot. A robot that could handle any degree of terrain complexity would be useful for exploring inaccessible crowded spaces such as rubble piles in emergency situations, patrolling/intelligence gathering in tough terrain, tunnel exploration, and possibly even planetary exploration. Here we simulate autonomous exploratory navigation by an interaction of terrain discovery using the multi-articulated linear robot to build a local terrain map and exploitation of that growing terrain map to solve the propulsion problem of the robot.

Paper Details

Date Published: 9 May 2006
PDF: 11 pages
Proc. SPIE 6229, Intelligent Computing: Theory and Applications IV, 62290H (9 May 2006); doi: 10.1117/12.663721
Show Author Affiliations
Ross K. Snider, Snider Technology, Inc. (United States)
David W. Arathorn, General Intelligence Corp. (United States)


Published in SPIE Proceedings Vol. 6229:
Intelligent Computing: Theory and Applications IV
Kevin L. Priddy; Emre Ertin, Editor(s)

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