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20182023
most citedGait modeling and optimization for the perturbed Stokes regime

8 citations · 14 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.RO2023★ 1 cited

Floating-base manipulation on zero-perturbation manifolds

Brian A. Bittner, Jason Reid, Kevin C. Wolfe

To achieve high-dexterity motion planning on floating-base systems, the base dynamics induced by arm motions must be treated carefully. In general, it is a significant challenge to…

cs.RO2023

A Data-Driven Approach to Geometric Modeling of Systems with Low-Bandwidth Actuator Dynamics

Siming Deng, Junning Liu, Bibekananda Datta +5

It is challenging to perform system identification on soft robots due to their underactuated, high-dimensional dynamics. In this work, we present a data-driven modeling framework,…

cs.RO2022

Bridging Walking and Slithering -- Stokesian Locomotion

Shai Revzen, Dan Zhao, Glenna Clifton +2

Both legged locomotion and slithering motions typically utilize periodic gaits -- repeating cycles of body shape change that produce a net motion through the world. Legged locomoti…

cs.RO2021★ 4 cited

Optimizing Gait Libraries via a Coverage Metric

Brian Bittner, Shai Revzen

Many robots move through the world by composing locomotion primitives like steps and turns. To do so well, robots need not have primitives that make intuitive sense to humans. This…

cs.RO2020

Data-Driven Geometric System Identification for Shape-Underactuated Dissipative Systems

Brian Bittner, Ross L. Hatton, Shai Revzen

Systems whose movement is highly dissipative provide an opportunity to both identify models easily and quickly optimize motions. Geometric mechanics provides means for reduction of…

cs.RO2019★ 8 cited

Gait modeling and optimization for the perturbed Stokes regime

Matthew D. Kvalheim, Brian Bittner, Shai Revzen

Many forms of locomotion, both natural and artificial, are dominated by viscous friction in the sense that without power expenditure they quickly come to a standstill. From geometr…