最小化声学噪声：增强四足机器人室内应用中的安静移动能力
Minimizing Acoustic Noise: Enhancing Quiet Locomotion for Quadruped Robots in Indoor Applications
AI总结：
针对四足机器人在噪声敏感室内环境中移动噪声易被忽视的问题，提出结合优化步态设计与定制控制策略的新方法，实现约8 dBA的平均降噪，提升了其室内安静运行的适用性。
摘要：
四足机器人研究的最新进展显著提升了其穿越复杂且非结构化室外环境的能力。然而，移动过程中产生的噪声问题通常被忽视，这在噪声敏感的室内环境（如服务和医疗保健场景）中至关重要，因为保持低噪声水平是必不可少的。本研究旨在通过开发先进的运动控制算法，优化四足机器人在移动过程中产生的声学噪声。为此，我们提出了一种新方法，通过将优化的步态设计与定制的控制策略相结合来最小化噪声排放。该方法在移动过程中实现了约8 dBA的平均噪声降低，从而增强了四足机器人部署在噪声敏感的室内环境中的适用性。实验结果证明了该方法在各种室内环境中的有效性，突显了四足机器人在噪声敏感环境中安静运行的潜力。
英文摘要：
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. Experimental results demonstrate the effectiveness of this approach across various indoor settings, highlighting the potential of quadruped robots for quiet operation in noise-sensitive environments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
