基于软传感器的可扩展连续控制器的形状重建
Pengyuan Wang1,2, Yaqing Feng3, Zheng Zheng2
1Department of Mechanical Engineering, Harbin Institute of Technology, Weihai, China.
Soft robotics
|May 23, 2024
概括
这项研究引入了拉伸传感器 (SRSS) 来准确估计可伸缩连续操纵器的形状. 这种方法可以提高机器人在狭窄的空间中避开障碍物和定位终端效应器.
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
- 传感器技术 传感器技术
背景情况:
- 连续操纵器通过收缩和延伸在受限制的环境中提供了增强的空间适应性和操作灵活性.
- 量化这些操纵器的形状对于改善避障碍和终端效应器定位精度至关重要.
研究的目的:
- 提出和验证一种方法来估计可伸缩连续操纵器的形状,使用式拉伸传感器 (SRSS).
- 为了提高这些机器人系统的避障能力和终端效应器位置精度.
主要方法:
- 通过滚动过程开发精细的SRSS,以创建圆柱状结构.
- 测量操纵器可变形体上特定位置的应力.
- 通过整合传感器应变数据,考虑扭力效应,重建操纵器的形状.
主要成果:
- 设计和测试了一种具有三个驱动和九个SRSS的物理可扩展连续操纵器.
- 基于SRSS的方法准确地重建了操纵器的形状,即使在端效应器负载下.
- 实验结果显示,平均绝对终点位置误差为1.61%,最大误差为操纵器长度的3.45%.
结论:
- 提出的方法有效地估计了使用SRSS的可扩展连续操纵器的形状.
- 这种方法显著提高了复杂环境中机器人操纵的精度.
- 这些发现有助于推进适应性机器人系统的发展,以完成复杂的任务.
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