在可重新配置并行操纵器的视觉传感器空间中依赖深度的控制
Arturo Franco-López1, Mauro Maya1, Alejandro González2
1Facultad de Ingenieria, Universidad Autonoma de San Luis Potosi, San Luis Potosi 78290, Mexico.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
对于可重新配置的并行机器人而言,一种新的控制方法可以在没有先前的轨迹知识的情况下实现精确的目标跟踪. 这种方法通过克服工作空间约束和奇点等局限性来增强机器人的能力.
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
- 计算机视觉 计算机视觉
背景情况:
- 可重新配置的并行机器人比传统设计具有优势,但存在复杂的控制挑战.
- 现有的控制方法不适用于可重新配置的并行操纵器.
- 在许多机器人应用中,跟踪未知的目标轨迹是一个关键但困难的任务.
研究的目的:
- 为可重新配置并行机器人设计和实施一种新的控制方法.
- 为了使可重新配置的三角形类型机器人能够在视觉传感器,3D和关节空间中准确地跟踪目标.
- 为了解决可重新配置并行机器人的一般控制方法的缺乏.
主要方法:
- 开发可重新配置并行机器人的控制方法.
- 在视觉传感器,3D和联合空间中实施控制.
- 扩展速度线性摄像机模型-摄像机空间操纵 (VLCM-CSM) 方法论用于视觉传感器空间控制.
- 在可重新配置的三角形类型平行机器人上进行实验验证.
主要成果:
- 对于静态目标,实现了0.6mm的平均定位误差.
- 在不同速度的线性轨迹上获得的2.5mm,3.9mm和11.5mm的跟踪误差.
- 维持了16个月的对照周期时间.
- 与非可重新配置的机器人控制相比,证明了更高的性能.
结论:
- 拟议的控制方法对于可重新配置的并行机器人是有效的.
- 该方法成功实现了未知的轨迹的准确目标跟踪.
- 这项工作推进了复杂,可重新配置的机器人系统的控制策略.
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