在人类共享的室内环境中,为4WIS移动机器人提供基于时间间隔的碰撞检测.
Seungmin Kim1, Hyunseo Jang1, Jiseung Ha1
1Department of Autonomous Mobility, Korea University, Sejong 2511, Republic of Korea.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
这项研究引入了用于室内配送机器人的新碰撞检测方法. 我们的方法通过改进机器人导航和人类互动来提高人类共享空间的安全性和效率.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 自主系统 自主系统
背景情况:
- 电子商务的增长需要先进的室内配送解决方案.
- 在人类共享的室内环境中,最后一英里的交付带来了重大导航挑战.
- 现有的路径跟踪算法可能会导致机器人不可预测的移动.
研究的目的:
- 为四轮独立方向盘 (4WIS) 移动机器人开发基于时间间隔的碰撞检测方法.
- 改进室内交付场景中的自然人机交互.
- 为了提高自主室内导航的安全性和效率.
主要方法:
- 整合基于动态的机器人轨迹计算与基于LiDAR的人类检测.
- 使用卡尔曼波器进行人类运动预测.
- 为4WIS机器人实施并行驾驶模式.
主要成果:
- 与传统的阿克曼方向盘相比,并行驾驶模式显示出更高的人类检测能力.
- 在转和高速操作中观察到更好的性能.
- 该方法在现实的室内实验场景中被证明是有效的.
结论:
- 拟议的碰撞检测方法显著改善了室内环境中的人类检测和机器人导航.
- 这种方法为自主室内配送系统提供了更安全,更有效的解决方案.
- 这项研究证实了先进的防撞技术对未来电子商务物流的潜力.
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