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基于图像的视觉服务,避免动态奇点,用于移动操纵器
Jesus Hernandez-Barragan1, Carlos Villaseñor1, Carlos Lopez-Franco1
1University Center for Exact Sciences and Engineering, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.
PeerJ. Computer science
|December 9, 2024
概括
本研究使用基于图像的视觉伺服 (IBVS) 实现了对冗余移动操纵器的视觉伺服. 缓和最小平方和任务优先级有效减少奇点,改善机器人控制.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 计算机视觉 计算机视觉
- 控制系统 控制系统
背景情况:
- 视觉伺服 (VS) 使机器人能够使用相机反来进行精确的控制.
- 冗余的移动操纵器提供了增强的灵巧性,但也带来了控制挑战.
- 眼睛在手中的配置需要复杂的雅科比矩阵计算.
研究的目的:
- 为冗余移动操纵器实施强大的视觉伺服策略.
- 为了解决眼在手的配置中常见的动态奇点.
- 为了提高机器人姿势控制的准确性和操纵性.
主要方法:
- 使用基于图像的视觉服务 (IBVS) 方案.
- 使用压缩最小方形 (DLS) 逆转雅可比矩阵,减轻奇点.
- 实施了主要IBVS和次要操纵性最大化任务优先级计划.
- 基于图像空间错误的内置重力补偿.
主要成果:
- 成功证明了拟议的视觉伺服算法的有效性.
- 减少动力奇点和平滑机器人运动中的不连续性.
- 通过对Kuka YouBot进行模拟和实验来验证该方法.
结论:
- 拟议的视觉伺服方法增强了冗余移动操纵器的控制.
- DLS和任务优先级是有效的克服奇点问题.
- 综合的方法确保了强大而准确的机器人操纵在眼睛在手系统.
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