Departmental Papers (ESE)

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Abstract

We work with geoscientists studying erosion and desertification to improve the spatial and temporal resolution of their data collection over long transects in difficult realworld environments such as deserts. The Minitaur robot, which can run quickly over uneven terrain and use a single leg to measure relevant ground properties such as stiffness, is an attractive scout robot candidate for inclusion in a heterogeneous team in collaboration with a heavily geared, sensor-laden RHex. However, Minitaur is challenged by long-distance locomotion on sand dunes. Previous simulation results suggested that the energetic cost of transport can be mitigated by programming a virtual damping force to slow the intrusion of a Minitaur foot into simulated granular media following a bulk-behavior force law. In this paper, we present a ground emulator that can be used to test such locomotion hypotheses with a physical single-legged hopper jumping on emulated ground programmed to exhibit any compliance and damping characteristics of interest. The new emulator allows us to corroborate the conclusions of our previous simulation with physical hopping experiments. Programming the substrate emulator to exhibit the mechanics of a simplified bulk-behavior model of granular media characterized by linear stiffness and quadratic damping, we achieve a consistent energy savings of 20% in comparison with a nominal controller, with savings of up to 50% under specific conditions.

For more information, see https://kodlab.seas.upenn.edu.

Sponsor Acknowledgements

This work was supported by NSF INSPIRE grant 1514882 and in part by NSF NRI-2.0 grant 1734355

Document Type

Conference Paper

Subject Area

GRASP, Kodlab

Date of this Version

5-1-2019

Publication Source

ICRA 2019

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Bib Tex

@article{roberts2019mitigating, title={Mitigating energy loss in a robot hopping on a physically emulated dissipative substrate}, author={Roberts, Sonia F and Koditschek, Daniel E}, journal={Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA)}, year={2019}, organization={IEEE} }

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Date Posted: 10 May 2019

This document has been peer reviewed.