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arXiv 2402.18682cs.RO
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用于移动机器人轮子的声学触觉感知

Acoustic tactile sensing for mobile robot wheels

McGill University(麦吉尔大学);Mila - Quebec AI Institute(米拉-魁北克人工智能研究所);TTI-Chicago(芝加哥丰田技术研究所)

Wilfred Mason, David Brenken, Falcon Z. Dai, Ricardo Gonzalo Cruz Castillo, Olivier St-Martin Cormier, Audrey Sedal

AI总结:

本文提出一种基于轮载声波导和现成声学测距仪的移动机器人触觉感知架构,可实现全周地形识别、障碍物分类与碰撞接触定位,并支持多种建图任务。

摘要:

移动机器人中的触觉感知仍未得到充分探索,这主要是由于与传感器集成相关的挑战以及分布式感知的复杂性。在本研究中,我们提出了一种基于安装在轮子上的声波导的移动机器人触觉感知架构。我们的传感器架构仅使用一个有源组件——一款现成的声学测距仪——即可沿轮子的整个圆周实现触觉感知。我们展示的研究结果表明,安装在移动机器人轮子上的该传感器能够区分不同地形,检测并分类具有不同几何形状的障碍物,并通过接触定位执行碰撞检测。我们还将该传感器与移动机器人中传统使用的传感器进行了比较,并指出了利用我们触觉感知架构独特能力的传感器融合方法的潜力。我们的研究结果表明,自主移动机器人可以进一步利用该传感器架构完成需要了解地形材料、表面拓扑和底层结构的各类建图任务。

英文摘要:

Tactile sensing in mobile robots remains under-explored, mainly due to challenges related to sensor integration and the complexities of distributed sensing. In this work, we present a tactile sensing architecture for mobile robots based on wheel-mounted acoustic waveguides. Our sensor architecture enables tactile sensing along the entire circumference of a wheel with a single active component: an off-the-shelf acoustic rangefinder. We present findings showing that our sensor, mounted on the wheel of a mobile robot, is capable of discriminating between different terrains, detecting and classifying obstacles with different geometries, and performing collision detection via contact localization. We also present a comparison between our sensor and sensors traditionally used in mobile robots, and point to the potential for sensor fusion approaches that leverage the unique capabilities of our tactile sensing architecture. Our findings demonstrate that autonomous mobile robots can further leverage our sensor architecture for diverse mapping tasks requiring knowledge of terrain material, surface topology, and underlying structure.

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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