Literature DB >> 33022621

Material remodeling and unconventional gaits facilitate locomotion of a robophysical rover over granular terrain.

Siddharth Shrivastava1, Andras Karsai2, Yasemin Ozkan Aydin3, Ross Pettinger4, William Bluethmann5, Robert O Ambrose5, Daniel I Goldman2.   

Abstract

Autonomous 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 the terradynamic 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 multimode design of RP15 and a diversity of possible gaits facilitate formation of self-organized localized frictional fluids that enable effective robust transport.
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Year:  2020        PMID: 33022621     DOI: 10.1126/scirobotics.aba3499

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  2 in total

1.  Field-mediated locomotor dynamics on highly deformable surfaces.

Authors:  Shengkai Li; Yasemin Ozkan-Aydin; Charles Xiao; Gabriella Small; Hussain N Gynai; Gongjie Li; Jennifer M Rieser; Pablo Laguna; Daniel I Goldman
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-20       Impact factor: 12.779

2.  Surprising simplicity in the modeling of dynamic granular intrusion.

Authors:  Shashank Agarwal; Andras Karsai; Daniel I Goldman; Ken Kamrin
Journal:  Sci Adv       Date:  2021-04-23       Impact factor: 14.136

  2 in total

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