Minimizing Acoustic Noise: Enhancing Quiet Locomotion for Quadruped Robots in Indoor Applications
Zhanxiang Cao, Buqing Nie, Yang Zhang, and Yue Gao

TL;DR
This paper presents a novel motion control approach for quadruped robots that significantly reduces acoustic noise during indoor locomotion, making them more suitable for noise-sensitive environments like healthcare and service settings.
Contribution
It introduces an integrated gait design and control strategy specifically aimed at minimizing noise emissions in quadruped robots during indoor use.
Findings
Achieved approximately 8 dBA noise reduction during movement
Demonstrated effectiveness across various indoor environments
Enhanced suitability of quadruped robots for noise-sensitive applications
Abstract
Recent advancements in quadruped robot research have significantly improved their ability to traverse complex and unstructured outdoor environments. However, the issue of noise generated during locomotion is generally overlooked, which is critically important in noise-sensitive indoor environments, such as service and healthcare settings, where maintaining low noise levels is essential. This study aims to optimize the acoustic noise generated by quadruped robots during locomotion through the development of advanced motion control algorithms. To achieve this, we propose a novel approach that minimizes noise emissions by integrating optimized gait design with tailored control strategies. This method achieves an average noise reduction of approximately 8 dBA during movement, thereby enhancing the suitability of quadruped robots for deployment in noise-sensitive indoor environments.…
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Taxonomy
TopicsRobotic Locomotion and Control · Social Robot Interaction and HRI · Modular Robots and Swarm Intelligence
