TY - GEN
T1 - Walking and running on yielding and fluidizing ground
AU - Qian, Feifei
AU - Zhang, Tingnan
AU - Li, Chen
AU - Masarati, Pierangelo
AU - Hoover, Aaron M.
AU - Birkmeyer, Paul
AU - Pullin, Andrew
AU - Fearing, Ronald S.
AU - Goldman, Daniel I.
N1 - Publisher Copyright:
© 2013 Massachusetts Institute of Technology.
PY - 2013
Y1 - 2013
N2 - We study the detailed locomotor mechanics of a small, lightweight robot (DynaRoACH, 10 cm, 25 g) which can move on a granular substrate of closely packed 3 mm diameter glass particles at speeds up to 50 cm/s (5 body length/s), approaching the performance of small, highperforming, desert-dwelling lizards. To reveal how the robot achieves this high performance, we use high speed imaging to capture kinematics, and develop a numerical multi-body simulation of the robot coupled to an experimentally validated discrete element method (DEM) simulation of the granular media. Average forward speeds measured in both experiment and simulation agreed well, and increased non-linearly with stride frequency, reflecting a change in the mode of propulsion. At low frequencies, the robot used a quasi-static "rotary walking" mode, in which the granular material yielded as the legs penetrated and then solidified once vertical force balance was achieved. At high frequencies, duty factor decreased below 0.5 and aerial phases occurred. The propulsion mechanism was qualitatively different: the robot ran rapidly by utilizing the speed-dependent fluid-like inertial response of the material. We also used our simulation tool to vary substrate parameters that were inconvenient to vary in experiment (e.g., granular particle friction) to test performance and reveal limits of stability of the robot. Using small robots as physical models, our study reveals a mechanism by which small animals can achieve high performance on granular substrates, which in return advances the design and control of small robots in deformable terrains.
AB - We study the detailed locomotor mechanics of a small, lightweight robot (DynaRoACH, 10 cm, 25 g) which can move on a granular substrate of closely packed 3 mm diameter glass particles at speeds up to 50 cm/s (5 body length/s), approaching the performance of small, highperforming, desert-dwelling lizards. To reveal how the robot achieves this high performance, we use high speed imaging to capture kinematics, and develop a numerical multi-body simulation of the robot coupled to an experimentally validated discrete element method (DEM) simulation of the granular media. Average forward speeds measured in both experiment and simulation agreed well, and increased non-linearly with stride frequency, reflecting a change in the mode of propulsion. At low frequencies, the robot used a quasi-static "rotary walking" mode, in which the granular material yielded as the legs penetrated and then solidified once vertical force balance was achieved. At high frequencies, duty factor decreased below 0.5 and aerial phases occurred. The propulsion mechanism was qualitatively different: the robot ran rapidly by utilizing the speed-dependent fluid-like inertial response of the material. We also used our simulation tool to vary substrate parameters that were inconvenient to vary in experiment (e.g., granular particle friction) to test performance and reveal limits of stability of the robot. Using small robots as physical models, our study reveals a mechanism by which small animals can achieve high performance on granular substrates, which in return advances the design and control of small robots in deformable terrains.
KW - Bio-Inspired Robot
KW - Granular Media
KW - Legged Locomotion
KW - Lightweight
UR - http://www.scopus.com/inward/record.url?scp=84959295985&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959295985&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84959295985
SN - 9780262519687
T3 - Robotics: Science and Systems
SP - 345
EP - 352
BT - Robotics
A2 - Roy, Nicholas
A2 - Newman, Paul
A2 - Srinivasa, Siddhartha
PB - MIT Press Journals
T2 - International Conference on Robotics Science and Systems, RSS 2012
Y2 - 9 July 2012 through 13 July 2012
ER -