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Passivity-Based Full-Body Force Control for Humanoids and Application to Dynamic Balancing and Locomotion

机译:基于被动性的人体驱动力控制,用于人体驱动和动态平衡和运动的应用

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This paper proposes a passivity-based hierarchical full-body motion controller for force-controllable multi-DOF humanoid robots. The task-space forces are treated in a uniform manner for a variety of position/force tracking and force/moment compensation. The contact force closure is optimally solved and transformed directly into the joint torques in real-time without any joint trajectory planning. With this framework, we introduce gravity compensation at the lowest layer of the controller that makes the closed-loop system passive with respect to additional inputs as well as external forces. Furthermore, we propose two upper-layers: one layer controls the ground reaction forces, which enables the robot keep the dynamic balance. The other layer is the another passification control, which constructs an invariant manifold that prevents the robot from falling during walking. Four realistic dynamic simulations: balanced squatting, reaching, externally driven, or speed-controlled walking with disturbances demonstrate the effectiveness of the proposed methods.
机译:本文提出了一种基于主的分层全身运动控制器,用于力可控制的多DOF人形机器人。任务空间力以均匀的方式处理各种位置/力跟踪和力/时刻补偿。接触力闭合是最佳的解决,并实时地直接转换为关节扭矩,没有任何关节轨迹规划。利用该框架,我们在控制器的最低层引入重力补偿,使得闭环系统相对于附加输入以及外部力。此外,我们提出了两个上层:一层控制地面反作用力,这使得机器人能够保持动态平衡。另一层是另一个频繁的控制,它构造了一种不变的歧管,其防止机器人在行走期间落下。四个现实的动态模拟:使用干扰均衡,伸展,外部驱动或速度控制,证明了所提出的方法的有效性。

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