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Torque and velocity controllers to perform jumps with a humanoid robot: theory and implementation on the iCub robot

机译:用人形机器人执行跳跃的扭矩和速度控制器:iCub机器人的理论和实现

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Jumping can be an effective way of locomotion to overcome small terrain gaps or obstacles. In this paper we propose two different approaches to perform jumps with a humanoid robot. Specifically, starting from a pre-defined CoM trajectory we develop the theory for a velocity controller and for a torque controller based on an optimization technique for the evaluation of the joints input. The controllers have been tested both in simulation and on the humanoid robot iCub. In simulation the robot was able to jump using both controllers, while the real system jumped with the velocity controller only. The results highlight the importance of controlling the centroidal angular momentum and they suggest that the joint performances, namely maximum power, of the legs and torso joints, and the low level control performances are fundamental to achieve acceptable results.
机译:跳跃可能是克服小地形空白或障碍物的有效运动方式。在本文中,我们提出了两种不同的方法来使用类人机器人进行跳跃。具体而言,从预定义的CoM轨迹开始,我们基于用于评估关节输入的优化技术,开发了速度控制器和扭矩控制器的理论。该控制器已经在仿真和人形机器人iCub上进行了测试。在仿真中,机器人可以同时使用两个控制器进行跳跃,而实际系统仅使用速度控制器进行跳跃。结果突出了控制质心角动量的重要性,并且表明腿部和躯干关节的关节性能即最大力量以及低水平的控制性能是获得可接受结果的基础。

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