模拟滑动率依赖的可行性,用于在沙地形上规划轮式移动机器人的路径
1Graduate School of Integrated Design Engineering, Faculty of Science and Technology, Keio University, Tokyo, Japan.
Frontiers in robotics and AI
|February 9, 2024
概括
这项研究引入了一种新方法,通过分析暂时滑动率来预测行星漫游车轮滑动. 这种方法大大减少了漫游车在崎的地形上滑动,提高了自主导航的安全性和效率.
科学领域:
- 行星科学 行星科学
- 机器人技术 机器人技术 机器人技术
- 机械工程 机械工程
背景情况:
- 行星探测器需要准确的可穿越性预测,以便在可变形表面上安全自主操作.
- 现有的路径规划算法通常假定稳定状态滑动,忽视关键的瞬态动态.
- 了解车轮与土壤的相互作用,尤其是在短暂状态下,对于精确的滑动预测至关重要.
研究的目的:
- 开发一个路径规划算法,明确纳入过渡滑动率,以最大限度地减少漫游车轮滑动.
- 创建一个回归模型来预测基于滑动率和引力的滑动比率.
主要方法:
- 开发了一个回归模型,使用滑动率和引力作为输入来预测滑动率.
- 开发的模型被整合到路径规划算法的成本函数中.
- 实验使用单轮测试台进行,以验证模型的预测.
- 在崎的地形环境中进行了路径规划模拟.
主要成果:
- 回归模型准确地估计了滑动比率,平均精度为85%.
- 路线规划模拟显示,漫游车经历的滑动减少了58%.
- 动力学模拟证实了在崎的地形环境下滑动率的降低.
结论:
- 在路径规划中明确解决暂时滑动率,可以显著减少漫游车的整体滑动.
- 拟议的方法提高了自主探测器在具有挑战性的行星表面操作的安全性和效率.
- 这种方法有助于更强大和可靠的行星探索任务.
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