UMich-BipedLab/cassie_alip_mpc

This repository provides an implementation of a bipedal locomotion controller, described in the paper Terrain-Adaptive, ALIP-Based Bipedal Locomotion Controller via Model Predictive Control and Virtual Constraints(pdf)(arXiv). The controller has two components: (1) an Angular Momentum Linear Inverted Pendulum (ALIP)-based Model Predictive Control (MPC) foot placement planner and (2) a gait controller which takes the foot placement solution as an input. This controller enables improved stability for walking on a variety of sloped and textured terrains. The controller is implemented on the Agility Robotics Cassie Robot.

CAGPL-3.0