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arXiv 2602.20596cs.RO
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用于机器人磨削闭环力控制的声学反馈

Acoustic Feedback for Closed-Loop Force Control in Robotic Grinding

School of Electrical Engineering and Robotics, Queensland University of Technology(昆士兰科技大学电气工程与机器人学院);Australian Cobotics Centre, Queensland University of Technology(昆士兰科技大学澳大利亚协作机器人中心);Centre for Robotics, Queensland University of Technology(昆士兰科技大学机器人中心)

Zongyuan Zhang, Christopher Lehnert, Will N. Browne, Jonathan M. Roberts

AI总结:

本文提出一种低成本声学反馈机器人磨削系统,通过接触麦克风实时估计磨削力,实现闭环力控制,相比传统力传感器更经济且适应性更强。

摘要:

声学反馈是人类使用旋转工具磨削时评估工具与工件接触状态的关键指标。相比之下,机器人磨削系统通常依赖力传感,而声学信息被忽视。这种依赖力传感器的方法成本高且难以适应不同磨削工具,而音频传感器(麦克风)成本低且可安装在传导磨削声音的任何介质上。本文介绍了一种低成本的声学反馈机器人磨削系统(AFRG),通过接触麦克风捕获音频信号,实时估计磨削力,并实现磨削过程的闭环力控制。与传统力传感方法相比,AFRG在不同磨盘条件下的一致性提高了4倍。AFRG仅依赖低成本麦克风,比传统力传感器便宜约200倍,提供了一种易于部署且经济的机器人磨削解决方案。

英文摘要:

Acoustic feedback is a critical indicator for assessing the contact condition between the tool and the workpiece when humans perform grinding tasks with rotary tools. In contrast, robotic grinding systems typically rely on force sensing, with acoustic information largely ignored. This reliance on force sensors is costly and difficult to adapt to different grinding tools, whereas audio sensors (microphones) are low-cost and can be mounted on any medium that conducts grinding sound. This paper introduces a low-cost Acoustic Feedback Robotic Grinding System (AFRG) that captures audio signals with a contact microphone, estimates grinding force from the audio in real time, and enables closed-loop force control of the grinding process. Compared with conventional force-sensing approaches, AFRG achieves a 4-fold improvement in consistency across different grinding disc conditions. AFRG relies solely on a low-cost microphone, which is approximately 200-fold cheaper than conventional force sensors, as the sensing modality, providing an easily deployable, cost-effective robotic grinding solution.

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。

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