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一种路径规划方法,以显著减少基于速度潜在场的操纵器的局部振荡
Xianlun Wang1,2, Qingsong Wu1, Tianyu Wang1
1College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266000, China.
Sensors (Basel, Switzerland)
|December 9, 2023
概括
这项研究引入了一种改进的速度潜在场 (VPF) 算法,以实现更安全的人机协作. 增强的VPF算法有效地减少了振荡,并确保操纵器在人类四肢等动态障碍物周围的运动更加顺.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 人工智能的人工智能
- 制造业 工程 制造工程
背景情况:
- 人机协作在制造业正在扩大.
- 动态障碍,如人类四肢,对操纵者路径规划构成挑战.
- 传统的速度潜在场 (VPF) 算法与在障碍物附近的局部振荡作斗争.
研究的目的:
- 为改进的操纵器路径规划提出一个改进的速度潜在场 (VPF) 算法.
- 为解决 VPF 算法中局部振荡和突然速度变化的问题.
- 为了提高人机协作的安全性和实时性能.
主要方法:
- 开发了一种改进的速度潜在场 (VPF) 算法.
- 引入了新的吸引力和排斥速度功能,以管理潜在的场域进入/退出.
- 实施虚拟目标点构建方法,以减轻在障碍物附近的振荡.
主要成果:
- 改进的VPF算法成功避免了与动态障碍物的碰撞.
- 显示了局部振荡问题的显著减少.
- 通过模拟和实际操纵器测试来验证.
结论:
- 增强的VPF算法确保了更安全,更顺的协作机器人操作.
- 这种方法在人机协作场景中提高了实时性能.
- 该算法有效地处理动态障碍,如人类上肢.
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