Stiffness control of a robotic arm using robust fixed point transformations

Abstract

Nowadays, energy consumption of electronic systems is a very important question. Much money and time can be saved with a well-designed system, where the depletion is minimal. In this paper, the power usage of the arm of a NAO Next Gen robot is optimized by controlling dynamically the stiffness of its motor. The control strategy is based on Robust Fixed Point Transformations (RFPT). The results show that the proposed control method can reduce the power usage significantly, and as a surprise, it can reduce the inaccuracy of the tracking caused by the unpunctual sensors of the robot.