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腰部旋转角度作为人类避免碰撞方向的指示器,用于自主移动机器人的自主移动机器人
Tatsuto Yamauchi1, Hideki Tamura1, Tetsuto Minami1
1Department of Computer Science and Engineering, Toyohashi University of Technology, Toyohashi, Aichi, Japan.
PloS one
|May 14, 2025
概括
在城市中遇到自主移动机器人 (AMR) 的行人可能会本能地扭动腰部以避开它们. 早期避开运动,检测到非接触,在围绕AMR导航时增强人类的舒适性.
科学领域:
- 人与机器人的交互
- 机器人技术 机器人技术 机器人技术
- 人类因素工程 人类因素工程
背景情况:
- 自主移动机器人 (AMR) 在城市环境中日益普及.
- 在面对场景中,对人类避开行为,特别是对抗药性耐药性的有限研究.
- 需要了解人类的反应,以便在智能城市中安全地整合抗抗菌药物.
研究的目的:
- 当遇到接近的AMR时,调查人类避免策略.
- 分析身体运动,特别是腰部旋转在避免AMR中的作用.
- 评估避免时间对人类舒适性和感知的影响.
主要方法:
- 与参与者进行了一项心理物理实验,并接近AMR.
- 记录了人类的避开运动 (方向和身体运动) 作为对直接AMR方法的反应.
- 采用非接触式RGB相机技术进行运动分析和测量.
- 根据避免机动的时间来评估人类的舒适度.
主要成果:
- 人类没有表现出强烈的方向偏好 (左或右) 避免AMRs.
- 腰部旋转始终是人类避开方向的先导和预测.
- 早些时候启动避免行动显著改善了参与者的舒适性.
- 使用RGB摄像头进行非接触测量证明有效且广泛适用.
结论:
- 腰部旋转是AMRs避开方向的可靠指标.
- 非接触式传感技术,如RGB摄像头,为检测和预测人类避开提供了有希望的解决方案.
- 早期检测和避免策略对于提高人类舒适性和安全性至关重要.
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