This video shows various experiments of the control of UT Austin’s humanoid Meka robot. We demonstrate prioritized torque control strategies, addressing hand position tasks and dynamically compensated posture optimization. In particular, the main contribution of the experiments is the ability to optimize posture performance by dynamically compensating the postural mass matrix with the task’s null space matrix.
