| 标 题： |
3D Printer Based Open Source Calibration Platform for Whisker Sensors
基于3D打印机的开源触须传感器校准平台 |
| 作 者： |
Liyou Zhou
Omar Ali
Soumo Emmanuel Arnaud
Eden Attenborough
Jacob Swindell
George Davies
Charles Fox |
| 关键词： |
Whisker sensor [胡须传感器]
Calibration [ 校准]
Open-Source [ 开源] |
| 出版年： |
2025 |
| 文集名： |
Towards Autonomous Robotic Systems
迈向自主机器人系统 |
| 会议名： |
25th Annual Conference Towards Autonomous Robotic Systems (TAROS 2024)
第25届自主机器人系统年度会议（TAROS 2024） |
| 届 次： |
25th |
| 摘 要： |
Whisker sensors have been an area of active research in recent years for their interesting use cases in tactile robotics and mammal physiology research. Several attempts have been made to develop open-source versions of the sensor to promote wider adoption. However, the existing calibration solutions for these sensors are highly proprietary, cost-prohibitive and error-prone. In this paper, we present a low-cost open-source calibration and testing platform for whisker sensors based on an off-the-shelf 3D printer. We demonstrate its effectiveness by calibrating a whisker sensor for radial contact distance inference. All artefacts of the design are open-sourced and are fully reproducible.
近年来，胡须传感器因其在触觉机器人和哺乳动物生理学研究中的有趣应用而成为活跃的研究领域。已有多种尝试开发开源版本的传感器，以促进其更广泛的应用。然而，目前针对这些传感器的校准方案高度专有、成本高昂且易出错。本文提出了一种基于商用3D打印机的低成本开源校准与测试平台，用于胡须传感器。我们通过校准胡须传感器以推断径向接触距离，展示了该平台的有效性。该设计的所有组件均开源，并可完全复现。 |
| 中文内容为网络AI翻译，专业术语未必准确，仅供参考。 |
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