首页> 外文会议>IEEE International Symposium on Computational Intelligence and Informatics >Matrix inversion-free quasi-differential approach in solving the inverse kinematic task
【24h】

Matrix inversion-free quasi-differential approach in solving the inverse kinematic task

机译:求解运动学逆任务的无矩阵求逆准微分方法

获取原文

摘要

The traditionally viable way for the solution of the inverse kinematic task for general open kinematic structure is the differential approach in which the Jacobian of the robot arm usually is inverted by the use of some generalized matrix inverse. These approaches suffer from the kinematic singularities nearby which these "inverses" are ill-conditioned and behave in a very inconvenient way. For dealing with the singularities complementary tricks used to be introduced that so deform the original task that the obtained "solution" behaves conveniently though it cannot solve the original task that does not have exact solution. In this paper an alternative approach is suggested that requires only the computation of the Jacobian but does not need the calculation of its "generalized inverse". Instead of that it applies an iterative sequence that has nice convergence properties. The method automatically handles the problem of the singularities, ambiguity, redundancies, and non-existing exact solutions without the application of any complementary trick or artificial parameter. Its operation is demonstrated for a simple 2 Degree of Freedom (DoF) arm, and for an 8 DoF arm, that is an irregular extension of a 6 DoF PUMA-type robot.
机译:解决一般开放运动学结构的逆运动学问题的传统可行方法是微分方法,在该方法中,通常通过使用一些广义矩阵逆来反转机器人手臂的雅可比行列式。这些方法遭受附近的运动奇异性的影响,这些奇异性使这些“逆”条件不佳,并且以非常不便的方式表现出来。为了处理奇异点,曾经引入过一些补充技巧,这些技巧使原始任务变形,以至于尽管无法解决没有确切解决方案的原始任务,但获得的“解决方案”的行为却很方便。在本文中,提出了一种替代方法,该方法仅需要计算雅可比行列,而无需计算其“广义逆”。取而代之的是,它应用具有良好收敛特性的迭代序列。该方法自动处理奇异性,歧义性,冗余性和不存在的精确解的问题,而无需应用任何补充性技巧或人工参数。演示了其简单的2自由度(DoF)臂和8 DoF臂的操作,这是6 DoF PUMA型机器人的不规则延伸。

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