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Development and Field Testing of the FootFall Planning System for the ATHLETE RobotsThe FootFall Planning System is a ground-based planning and decision support system designed to facilitate the control of walking activities for the ATHLETE (All-Terrain Hex-Limbed Extra-Terrestrial Explorer) family of robots. ATHLETE was developed at NASA's Jet Propulsion Laboratory (JPL) and is a large six-legged robot designed to serve multiple roles during manned and unmanned missions to the Moon; its roles include transportation, construction and exploration. Over the four years from 2006 through 2010 the FootFall Planning System was developed and adapted to two generations of the ATHLETE robots and tested at two analog field sites (the Human Robotic Systems Project's Integrated Field Test at Moses Lake, Washington, June 2008, and the Desert Research and Technology Studies (D-RATS), held at Black Point Lava Flow in Arizona, September 2010). Having 42 degrees of kinematic freedom, standing to a maximum height of just over 4 meters, and having a payload capacity of 450 kg in Earth gravity, the current version of the ATHLETE robot is a uniquely complex system. A central challenge to this work was the compliance of the high-DOF (Degree Of Freedom) robot, especially the compliance of the wheels, which affected many aspects of statically-stable walking. This paper will review the history of the development of the FootFall system, sharing design decisions, field test experiences, and the lessons learned concerning compliance and self-awareness.
Document ID
20110016533
Acquisition Source
Ames Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
SunSpiral, Vytas
(SGT, Inc. Moffett Field, CA, United States)
Wheeler, D. W.
(SGT, Inc. Moffett Field, CA, United States)
Chavez-Clementa, Daniel
(Stanford Univ. Stanford, CA, United States)
Mittman, David
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
August 25, 2013
Publication Date
September 30, 2011
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
ARC-E-DAA-TN3889
Report Number: ARC-E-DAA-TN3889
Funding Number(s)
CONTRACT_GRANT: NNA08CG83C
CONTRACT_GRANT: NAS7-03001
Distribution Limits
Public
Copyright
Public Use Permitted.
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