超弹性建模和验证带有压力强化的混合动力软机器人
Majid Roshanfar1, Salar Taki1, Amir Sayadi2
1Mechanical Engineering Department, Concordia University, Montreal, QC H3G 1M8, Canada.
Micromachines
|May 27, 2023
概括
这项研究介绍了一种新的肌驱动软机器人,可调节度,用于更安全的手术应用. 一个连续力学模型准确地预测了它的行为,验证了它适应性刚性控制的潜力.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 连续力学 连续力学
- 生物医学工程 生物医学工程
背景情况:
- 与刚性机器人相比,软机器人在内应用中提供了更高的安全性.
- 适应性刚度控制对于多功能软机器人应用至关重要.
研究的目的:
- 开发和验证一个连续力学模型,用于压力调节,肌驱动软机器人.
- 为了研究适应性刚性控制的压力增强效应.
主要方法:
- 设计和制造了一种气动,三带驱动的软机器人.
- 增加了Cosserat的棒模型的超弹性,并作为一个边界值问题解决.
- 使用参数识别来将屈曲刚度与内部压力相关联.
主要成果:
- 该模型准确地预测了软机器人在不同压力 (0-40 kPa) 和张力 (0-3 N) 下的变形.
- 实验验证表明与理论预测有很好的一致性,最高尖端位移误差为6.40%.
结论:
- 开发的连续力学模型有效地捕捉了压力调节软机器人的行为.
- 这些发现支持使用该模型用于软机器人中的自适应刚性应用.
相关概念视频
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