首页> 外文期刊>IEEE Transactions on Robotics >A Formal-Numerical Approach for Robust In-Workspace Singularity Detection
【24h】

A Formal-Numerical Approach for Robust In-Workspace Singularity Detection

机译:鲁棒的工作空间奇异性检测的形式数字方法

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Singularity is a major problem for parallel robots as in these configurations the robot cannot be controlled, and there may be infinite forces/torques in its joints, possibly leading to its breakdown. Hence, such a configuration must usually be avoided, and certifying the absence of singularity within a prescribed workspace or on a given trajectory is essential for a practical use of this type of robots. Singularity conditions are usually quite complex, and therefore a purely analytical analysis is difficult. We present here an algorithm that combines formal and numerical calculations for detecting singularity or closeness to a singularity within an arbitrary workspace or trajectory. This algorithm has the very important advantage of being able to deal with any robot mechanical structure and to manage uncertainties in the robot control and in the robot modeling.
机译:奇异性是并联机器人的主要问题,因为在这些配置中,机器人无法控制,并且关节中可能存在无限的作用力/扭矩,可能导致其故障。因此,通常必须避免这种配置,并且证明在规定的工作空间内或在给定的轨迹上不存在奇异点对于此类机器人的实际使用至关重要。奇异条件通常很复杂,因此很难进行纯粹的分析。我们在这里提出一种结合形式和数值计算的算法,用于检测任意工作空间或轨迹内的奇异性或与奇异性的接近度。该算法具有非常重要的优势,它能够处理任何机器人机械结构,并能够处理机器人控制和机器人建模中的不确定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号