Autonomous Legged Hill and Stairwell Ascent

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Departmental Papers (ESE)
General Robotics, Automation, Sensing and Perception Laboratory
Kod*lab
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GRASP
Kodlab
autonomous robot
hill climbing
stair climbing
sequential composition
hexapod
self-manipulation
Controls and Control Theory
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This paper documents near-autonomous negotiation of synthetic and natural climbing terrain by a rugged legged robot, achieved through sequential composition of appropriate perceptually triggered locomotion primitives. The first, simple composition achieves autonomous uphill climbs in unstructured outdoor terrain while avoiding surrounding obstacles such as trees and bushes. The second, slightly more complex composition achieves autonomous stairwell climbing in a variety of different buildings. In both cases, the intrinsic motor competence of the legged platform requires only small amounts of sensory information to yield near-complete autonomy. Both of these behaviors were developed using X-RHex, a new revision of RHex that is a laboratory on legs, allowing a style of rapid development of sensorimotor tasks with a convenience near to that of conducting experiments on a lab bench. Applications of this work include urban search and rescue as well as reconnaissance operations in which robust yet simple-to-implement autonomy allows a robot access to difficult environments with little burden to a human operator.

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2011-11-01
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Departmental Papers (ESE)
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2023-05-17T06:39:01.000
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Suggested Citation: Aaron M. Johnson, Matthew T. Hale, G. C. Haynes, and D. E. Koditschek. "Autonomous Legged Hill and Stairwell Ascent." IEEE International Symposium on Safety, Security, and Rescue Robotics, November 2011, Kyoto, Japan, pp 134-142 ©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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