Refining Motion for Peak Performance: Identifying Optimal Gait Parameters for Energy-Efficient Quadrupedal Bounding

TL;DR

This paper investigates how gait parameters influence energy efficiency in quadrupedal robots, demonstrating that optimizing these parameters can significantly reduce energy consumption and improve performance.

Contribution

It introduces a novel control approach that independently adjusts gait parameters to optimize energy efficiency in quadrupedal locomotion.

Findings

Optimizing gait parameters reduces energy consumption significantly.

Simulation and experimental results validate the impact of gait tuning.

Gait parameter optimization enhances robot efficiency at various speeds.

Abstract

Energy efficiency is a critical factor in the performance and autonomy of quadrupedal robots. While previous research has focused on mechanical design and actuation improvements, the impact of gait parameters on energetics has been less explored. In this paper, we hypothesize that gait parameters, specifically duty factor, phase shift, and stride duration, are key determinants of energy consumption in quadrupedal locomotion. To test this hypothesis, we modeled the Unitree A1 quadrupedal robot and developed a locomotion controller capable of independently adjusting these gait parameters. Simulations of bounding gaits were conducted in Gazebo across a range of gait parameters at three different speeds: low, medium, and high. Experimental tests were also performed to validate the simulation results. The findings demonstrate that optimizing gait parameters can lead to significant reductions in energy consumption, enhancing the overall efficiency of quadrupedal locomotion. This work contributes to the advancement of energy-efficient control strategies for legged robots, offering insights directly applicable to commercially available platforms.