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通过推力诱导的低重力增强的机器人跳跃,实现精确,可预测和延长的跳跃.
Zijie Sun1, Jianguo Zhao1, Yangmin Li2
1Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Nature communications
|February 9, 2026
概括
这项研究介绍了一种双脚机器人,它使用推力诱导的低重力和轨迹控制来增强跳跃. 这种机器人跳跃技术在动态环境中实现了更大的范围和精度.
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科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物模拟技术是生物模拟的
- 机械工程 机械工程
背景情况:
- 机器人跳跃研究旨在改善非结构化环境中的导航.
- 在动态环境中实现精确和可预测的跳跃仍然是一个重大的工程挑战.
- 地球的重力需要强大的执行器和轻量级设计,以实现机器人高跳.
研究的目的:
- 开发一种双脚机器人,能够在动态环境中进行精确,可预测和扩展范围的跳跃.
- 克服当前机器人跳跃系统在范围和适应性方面的局限性.
- 通过新型机器人机动机器人运动来推进工程和仿生学领域的发展.
主要方法:
- 使用了一台双脚机器人,采用推力诱导的低重力.
- 通过推力向量实现了天线态度和抛物线轨迹的双重调节.
- 测试了机器人清除楼梯,墙壁和溪流等障碍物的能力,并导航动态场景.
主要成果:
- 实现了6.9米的最大跳跃范围,超过了腿部力量限制.
- 成功清理了多层楼梯,2.35米长的墙壁和3米长的溪流.
- 证明了精确的跳跃距离控制,使导航通过快速移动的窗口和移动的目标.
结论:
- 自生成的低重力和抛物线轨迹调节显著提高机器人跳跃能力.
- 开发的机器人跳跃系统为动态环境提供了扩展的范围,精度和可预测性.
- 这项研究为复杂的现实场景中更具适应性和能力的机器人铺平了道路.
