首页> 外文会议>IEEE/RSJ International Conference on Intelligent Robots and Systems >Inverse dynamics control of bimanual object manipulation using orthogonal decomposition: An analytic approach
【24h】

Inverse dynamics control of bimanual object manipulation using orthogonal decomposition: An analytic approach

机译:使用正交分解的双向对象操纵的逆动力学控制:一种解析方法

获取原文

摘要

In this paper, the well-known problem of codependence between inverse dynamics torque and contact force in bimanual object manipulation is addressed. The common contact constraint, namely rigid grasping, is exploited to decompose the set of dynamics equations into two orthogonally decoupled sets. Subsequently, the inverse dynamics control is formulated in a sub-manifold that is independent of the contact force, leading to analytically correct solutions that do not need to resort to common approximations for the aforementioned codependence problem. The contact force is also analytically computed and, therefore, can be optimally distributed using the torque redundancy. Relying on this prediction is most significant in situations where a force sensor at the end-effector is not present or is faulty. Even in the availability of sensory data, the predicted force may be used to correct typically noisy or delayed when filtered measurements, resulting in improved robustness. Simulation experiments on a planar bimanual manipulation model are presented.
机译:在本文中,解决了在双向物体操纵中逆动力学转矩和接触力之间相互依赖的众所周知的问题。利用公共接触约束,即刚性抓紧,将动力学方程组分解为两个正交解耦的组。随后,将逆动力学控制公式化为与接触力无关的子流形,从而产生了分析上正确的解决方案,这些解决方案无需针对上述共依赖性问题求助于常见的近似值。接触力也可以通过分析计算得出,因此可以使用转矩冗余来最佳地分配。在末端执行器上的力传感器不存在或出现故障的情况下,依靠此预测最为重要。即使在获得感官数据的情况下,预测的力也可以用来校正滤波后的测量值中通常有噪声或延迟的噪声,从而提高鲁棒性。提出了在平面双向操纵模型上的仿真实验。

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