Robophysics II
FOCUS · Q03 · ID: 46308
Presentations
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Principled understanding of dynamic multi-legged locomotion in complex terrain
ORAL · Invited
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Publication: Li C, Zhang T, Goldman DI (2013). A terradynamics of legged locomotion on granular media, Science, 339 (6126), 1408-1412<br>Othayoth R, Xuan Q, Wang Y, Li C (2021), Locomotor transitions in the potential energy landscape-dominated regime, Proceedings of the Royal Society B: Biological Sciences, 288 (1949): 20202734
Presenters
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Chen Li
Johns Hopkins University
Authors
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Chen Li
Johns Hopkins University
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A mode map model to predict state transitions of multi-legged robots within obstacle fields
ORAL
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Presenters
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Haodi Hu
University of Southern California
Authors
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Haodi Hu
University of Southern California
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Matthew D Kvalheim
University of Pennsylvania
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Feifei Qian
University of Southern California
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Locomotion in Granular Media: A Geomechanical Perspective on Symmetry Breaking
ORAL
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Presenters
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Sichuan Huang
Arizona State University
Authors
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Sichuan Huang
Arizona State University
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Junliang Tao
Arizona State University
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Reducing model fidelity for statistical path characterization of an insect-scale robot
ORAL
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Presenters
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Henry Cerbone
Harvard University
Authors
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Henry Cerbone
Harvard University
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Perrin E Schiebel
Harvard University
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Robert J Wood
Harvard University, John A. Paulson School of Engineering and Applied Sciences, Harvard University
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A multi-legged robot traverses heterogeneous 3-D terrain via locomotor transitions
ORAL
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Publication: Mi J, Wang Y, *Li C, Omni-Roach: A legged robot capable of traversing multiple types of large obstacles and self-righting, IEEE International Conference on Robotics and Automation (ICRA), in review
Presenters
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Yaqing Wang
Johns Hopkins University
Authors
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Jonathan Mi
Johns Hopkins University
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Yaqing Wang
Johns Hopkins University
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Qihan Xuan
Johns Hopkins University
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Chen Li
Johns Hopkins University
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Planning of Obstacle-aided Navigation for Multi-legged Robots using a Sampling-based Method over Directed Graphs
ORAL
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Presenters
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Kaustav Chakraborty
University of Southern California
Authors
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Kaustav Chakraborty
University of Southern California
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Matthew D Kvalheim
University of Pennsylvania
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Feifei Qian
University of Southern California
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A novel insect scale autonomous soft quadrupedal robot for locomotion through 3D complex terrain
ORAL
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Presenters
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Heiko D Kabutz
University of Colorado, Boulder
Authors
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Heiko D Kabutz
University of Colorado, Boulder
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Kaushik Jayaram
University of Colorado, Boulder, University of Colorado Boulder
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Low Slip Bipedal Locomotion on Granular Slopes via Cleated Foot Interaction
ORAL
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Presenters
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Deniz Kerimoglu
Georgia Institute of Technology
Authors
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Deniz Kerimoglu
Georgia Institute of Technology
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Daniel I Goldman
georgia tech, Georgia Institute of Technology, Georgia Institute of Technology, Atlalta, GA, Georgia Tech
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Robophysical and simulation modeling of how leg posture affects vibration sensing in orb weaving spiders
ORAL
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Presenters
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Eugene Lin
Johns Hopkins University
Authors
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Eugene Lin
Johns Hopkins University
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Yishun Zhou
Johns Hopkins University
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Andrew Gordus
Johns Hopkins University
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Chen Li
Johns Hopkins University
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Robophysics-inspired biology experiments to study gait control for obstacle negotiation in canines
ORAL
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Presenters
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Michelle Joyce
Temple University
Authors
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Michelle Joyce
Temple University
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Simon Wilshin
Royal Veterinary College
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Andrew Spence
Temple University
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SLIP-Inspired Hopping on Yielding Terrain
ORAL
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Presenters
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Daniel J Lynch
Northwestern University
Authors
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Daniel J Lynch
Northwestern University
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Kevin M Lynch
Northwestern University
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Paul B Umbanhowar
Northwestern University
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Passive mechanical limb features facilitate rough terrain locomotion of an insect-scale robot.
ORAL
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Presenters
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Perrin E Schiebel
Harvard University
Authors
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Perrin E Schiebel
Harvard University
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Pierre-Louis Lechere
Harvard University, EPFL
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Robert J Wood
Harvard University, John A. Paulson School of Engineering and Applied Sciences, Harvard University
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Force sensing facilitates traversal in cluttered beams with interaction
ORAL
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Publication: Q. Xuan, Y. Wang, and C. Li. Environmental force sensing enables robots to traverse cluttered obstacles with interaction. IEEE Robotics and Automation Letters, submitted.
Presenters
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Qihan Xuan
Johns Hopkins University
Authors
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Qihan Xuan
Johns Hopkins University
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Yaqing Wang
Johns Hopkins University
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Chen Li
Johns Hopkins University
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