Continuous Task Transition Approach for Robot Controller Based on Hierarchical Quadratic Programming

Abstract

Robots with high degrees of freedom (DoFs), such as humanoids and mobile manipulators, are expected to perform multiple tasks simultaneously. Hierarchical quadratic programming (HQP) can effectively compute a solution for strictly prioritized tasks. However, the continuity of the control input is not guaranteed when the priorities of the tasks are modified during operation. In this letter, we propose a continuous task transition method for HQP-based controller to insert, remove, and swap arbitrary tasks without discontinuity. Smooth task transition is assured because our approach uses activation parameters of the new and existing tasks without modifying the control structure. The proposed approach is applied to various task transition scenarios including joint limit, singularity, and obstacle avoidance to guarantee stable execution of the robot. The proposed control scheme has been implemented on a 7-DoF robotic arm, and its performance is demonstrated by the continuity of the control input during various task transition scenarios.