An efficiently solvable quadratic program for stabilizing dynamic locomotion

• Main Authors: Kuindersma, Scott (Contributor), Permenter, Frank Noble (Contributor), Tedrake, Russell Louis (Contributor)
• Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers (IEEE), 2014-10-14T14:20:31Z.
• Subjects: Article
• Online Access: Get fulltext

We describe a whole-body dynamic walking controller implemented as a convex quadratic program. The controller solves an optimal control problem using an approximate value function derived from a simple walking model while respecting the dynamic, input, and contact constraints of the full robot dynamics. By exploiting sparsity and temporal structure in the optimization with a custom active-set algorithm, we surpass the performance of the best available off-the-shelf solvers and achieve 1kHz control rates for a 34-DOF humanoid. We describe applications to balancing and walking tasks using the simulated Atlas robot in the DARPA Virtual Robotics Challenge.
United States. Air Force Research Laboratory (Contract FA8750-12-1-0321)
National Science Foundation (U.S.) (Contract ERC-1028725)
National Science Foundation (U.S.) (Contract IIS-1161909)
National Science Foundation (U.S.) (Contract IIS-0746194)