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Material Remodelling and Unconventional Gaits Facilitate Locomotion of a Robophysical Rover Over Granular TerrainAutonomous robots and vehicles must occasionally recover from locomotion failure in loosely consolidated granular terrain. Recent mobility challenges led NASA Johnson Space Center to develop a prototype robotic lunar rover Resource Prospector 15 (RP15) capable of wheeled, legged, and crawling behavior. To systematically understand performance of such a device, we developed a scaled-down rover robot and studied its locomotion on slopes of dry and wet granular media. Addition of a cyclic legged gait to the robot’s wheel spinning action changes the robot dynamics from that of a wheeled vehicle to a locomotor paddling through frictional fluid. Granular drag force measurements and modified Resistive Force Theory facilitate modeling of such dynamics. A peculiar gait strategy that agitates and cyclically reflows grains under the robot allows it to ‘swim’ up loosely consolidated hills. Whereas substrate disturbance typically hinders locomotion in granular media, the multi-mode design of RP15 and a diversity of possible gaits facilitate formation of self-organized localized frictional fluids that enable effective robust transport.
Document ID
20205000547
Acquisition Source
Johnson Space Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Siddharth Shrivastava ORCID
(Georgia Institute of Technology Atlanta, Georgia, United States)
Andras Karsai
(Georgia Institute of Technology Atlanta, Georgia, United States)
Yasemin Ozkan Aydin ORCID
(Georgia Institute of Technology Atlanta, Georgia, United States)
Ross Pettinger
(Jacobs Engineering Group)
William Bluethmann
(Johnson Space Center)
Robert O Ambrose
(Johnson Space Center)
Daniel I. Goldman ORCID
(Georgia Institute of Technology Atlanta, Georgia, United States)
Date Acquired
April 6, 2020
Publication Date
May 13, 2020
Publication Information
Publication: Science Robotics
Publisher: American Association for the Advancement of Science
Volume: 5
Issue: 42
Issue Publication Date: May 20, 2020
e-ISSN: 2470-9476
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Funding Number(s)
CONTRACT_GRANT: NNX15AR21G
CONTRACT_GRANT: W911NF-18-1-0120
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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