A Reduced-Order Resistive Force Model for Robotic Foot-Mud Interactions
Xunjie Chen, Jingang Yi, Jerry Shan

TL;DR
This paper introduces a simplified resistive-force model for legged robots interacting with mud, capturing complex behaviors like visco-elasticity and cohesion, validated through experiments and parameter studies.
Contribution
It presents a novel reduced-order force model specifically for robot-mud interactions, incorporating visco-elasto-plastic behavior and validated with experimental data.
Findings
Model captures mud visco-elasticity and cohesion effects
Force parameters depend on water content and foot velocity
Validated with mud intrusion experiments
Abstract
Legged robots are well-suited for broad exploration tasks in complex environments with yielding terrain. Understanding robotic foot-terrain interactions is critical for safe locomotion and walking efficiency for legged robots. This paper presents a reduced-order resistive-force model for robotic-foot/mud interactions. We focus on vertical robot locomotion on mud and propose a visco-elasto-plastic analog to model the foot/mud interaction forces. Dynamic behaviors such as mud visco-elasticity, withdrawing cohesive suction, and yielding are explicitly discussed with the proposed model. Besides comparing with dry/wet granular materials, mud intrusion experiments are conducted to validate the force model. The dependency of the model parameter on water content and foot velocity is also studied to reveal in-depth model properties under various conditions. The proposed force model potentially…
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Taxonomy
TopicsMuscle activation and electromyography studies · Robotic Locomotion and Control · Robot Manipulation and Learning
