Minimax Differential Dynamic Programming: An Application to Robust Biped Walking
journal contributionposted on 01.01.2003 by Jun Morimoto, Christopher G. Atkeson
Any type of content formally published in an academic journal, usually following a peer-review process.
We developed a robust control policy design method in high-dimensional state space by using differential dynamic programming with a minimax criterion. As an example, we applied our method to a simulated five link biped robot. The results show lower joint torques from the optimal control policy compared to a hand-tuned PD servo controller. Results also show that the simulated biped robot can successfully walk with unknown disturbances that cause controllers generated by standard differential dynamic programming and the hand-tuned PD servo to fail. Learning to compensate for modeling error and previously unknown disturbances in conjunction with robust control design is also demonstrated.