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On the adaptive control of cooperative robots with time-variant holonomic constraints

机译:具有时变完整约束的协同机器人的自适应控制

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In this work, we consider the problem of 2 robots handling a rigid object, while model-parameter uncertainties are assumed. It is also assumed that the manipulator scan push but not pull the object. Several control schemes proposed in the literature attempt to control the position of the object rather than its orientation. However,many industrial tasks require to move and to rotate the object. To this end, we propose an adaptive hybrid position/force control law based on time-variant holonomic constraints, which allow for object position and orientation control. Our approach guarantees that the force error asymptotically converges to 0; therefore, a stable grasp can be accomplished by means of a proper definition of the desired pushing force. In addition, a dynamic model of the cooperative system based on the load distribution and joint-space orthogonalization principles is developed. Experimental results are presented to validate the proposed dynamic model and control scheme.
机译:在这项工作中,我们考虑了两个机器人处理刚性物体的问题,同时假设了模型参数的不确定性。还假定操纵器扫描推动但不拉动对象。文献中提出的几种控制方案试图控制物体的位置而不是其方向。但是,许多工业任务需要移动和旋转对象。为此,我们提出了基于时变完整约束的自适应混合位置/力控制定律,该定律允许对象位置和方向控制。我们的方法保证了力误差渐近收敛到0;因此,可以通过适当定义所需的推压力来实现稳定的抓握。另外,建立了基于载荷分布和关节空间正交化原理的协同系统动力学模型。实验结果被提出来验证所提出的动态模型和控制方案。

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