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在尖端生长机器人中通过规模启发的层堵塞机制提高了抗变形和承载能力
Pengchun Li1, Yongchang Zhang1,2,3, Jiale Quan1
1State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin, China.
Soft robotics
|June 4, 2025
概括
这项研究引入了一种新的层级干扰机制,用于尖端生长的软机器人,灵感来自鱼. 这项创新显著提高了机器人的性和负载能力,在复杂的3D环境中.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 材料科学 材料科学 材料科学
- 生物模拟学是一种生物模拟学.
背景情况:
- 尖端生长的软机器人在狭窄的空间中具有很高的适应性,但缺乏适应重负荷的性.
- 由于固有的灵活性,现有的设计面临承载能力的限制和复杂的3D操纵.
研究的目的:
- 开发一种新的层阻塞机制,以提高尖端生长软机器人的刚性和承载能力.
- 为了提高机器人的性能,整合以鱼为灵感的仿生设计.
- 为了在具有挑战性的三维环境中实现强大的操纵和长距离移动.
主要方法:
- 设计了一种具有离散和连续的新型层阻塞机制,并集成到双层软机器人机身中.
- 内部流体压力被用于尖端变压和为阻塞提供压缩力,取代了传统的真空系统.
- 该机制进行了测试,以量化曲,扭曲和关节刚度的改善,并证明承载能力.
主要成果:
- 层堵塞机制显著增加了曲刚度 (4.6x),扭曲刚度 (7.8x) 和关节刚度 (8.7x).
- 机器人展示了在三维空间中增强的长距离运动和卓越的承载能力.
- 该设计保持了尖端变形和方向能力,同时实现了形状锁定后变形.
结论:
- 这种以鱼规模为灵感的层阻塞机制有效地提高了尖端生长的软机器人的全球性.
- 这项创新克服了以前的局限性,使机器人能够承载更重的负载,并在3D环境中执行复杂的任务.
- 开发的软机器人显示出在有限和复杂的空间内检测和操纵更广泛应用的巨大潜力.
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