基于人机协作对机器人碰撞反应的研究
Sicheng Zhong1, Chaoyang Xu1, Guoqiang Chen1
1College of Mechanical Engineering, North China University of Science and Technology, Tangshan 063210, China.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
本研究引入了一种自适应的入口控制算法,以提高人机协作中的安全性. 新的算法增强了协作机器人的碰撞反应,确保了更安全的交互.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 人与机器人的交互
背景情况:
- 传统的工业机器人受到安全所限制,阻碍了人机协作.
- 安全有效的碰撞反应对于推进协作机器人技术和人机交互至关重要.
- 现有的入口控制算法需要改进,以实现强大的碰撞处理.
研究的目的:
- 为协作机器人开发和验证一个自适应的入口控制碰撞响应算法.
- 通过改进碰撞检测和响应,提高人机协作的安全性和性能.
- 解决传统机器人的局限性,促进无的人机交互.
主要方法:
- 根据接入控制原则设计了一个自适应的入口控制碰撞响应算法.
- 为AUBO-i5协作机器人创建了一个碰撞模拟模型.
- 模拟实验将拟议的算法与现有方法进行了比较,用于最终效应器和物体碰撞.
主要成果:
- 拟议的自适应入口控制算法在模拟中证明了它的有效性.
- 碰撞响应性能被验证为终端效应器和身体冲击.
- 该算法在模拟场景中显示出可靠性和实用性,优于现有方法.
结论:
- 适应性入口控制碰撞响应算法为增强协作机器人安全提供了可靠的解决方案.
- 通过对AUBO-i5机器人进行实验的实际验证证实了算法的实用性.
- 这一进步支持了更集成,更安全的人机协作趋势.
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