多段可伸缩软操纵器由气动带合机制驱动
Hongxi Yang1, Yufeng Zeng1, Zeyu Zhong1
1Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Biomimetics (Basel, Switzerland)
|October 28, 2025
概括
本研究介绍了一种新的多段可伸缩软操纵器 (MSESM),用于复杂环境中的高精度控制. 创新的设计和混合控制方法显著减少软机器人的跟踪错误.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 机械工程 机械工程
- 控制系统 控制系统
背景情况:
- 与刚性机器人相比,连续机器人提供了高灵活性,但缺乏精确控制.
- 现有的软操纵器很难平衡适应性和准确的运动.
- 在软机器人系统中实现高精度控制仍然是一个关键的挑战.
研究的目的:
- 引入一个创新的多段可伸缩软操纵器 (MSESM),具有增强的刚性和混合控制策略.
- 为了证明将恒定曲率 (CC) 物理先验与数据驱动的神经网络相结合的可行性,以改善控制.
- 验证软操纵器的实用方法,这些软操纵器将灵活性与高精度能力相结合.
主要方法:
- 开发了一种多段可伸缩软操纵器 (MSESM),使用气动-肌混合动力,现成的 bellows 和 3D 打印的部件.
- 实施了差异度设计,以增加曲,轴度和扭矩阻力,最大限度地降低分段间合.
- 提出了一种混合控制方法,将恒定曲率 (CC) 物理前置与数据驱动的神经网络集成在一起.
主要成果:
- 在MSESM取得的扩展比率高达156.85%.
- 不同硬度设计增加了曲硬度4-5倍,轴硬度10倍,并增强了扭矩阻力.
- 与纯神经网络控制器相比,混合控制方法减少了60.43%的平均轨迹跟踪误差.
结论:
- 开发的MSESM有效地将高灵活性与高精度控制结合在一起.
- 混合控制策略显著提高了软操纵器的跟踪精度.
- 这项研究为先进的软机器人应用提供了实用和验证的解决方案.
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