A hybrid phase space planner for rough terrain locomotion which includes the following key components: (i) a step transition solver that enables dynamically tracking non-periodic keyframe states over various types of terrains, (ii) a robust hybrid automaton to effectively formulate planning and control algorithms, (iii) a steering direction model to control the robot’s heading, (iv) a phase-space metric to measure distance to the planned locomotion manifolds, and (v) a hybrid control method based on the previous distance metric to produce robust dynamic locomotion under external disturbances。
This is a MATLAB algorithm implementation of the demos in the following paper:
Ye Zhao, Benito Fernandez and Luis Sentis. "Robust Optimal Planning and Control of Non-Periodic Bipedal Walking with A Centroidal Momentum Model," The International Journal of Robotics Research. 36(11): 1211-1243. September, 2017.
A demo video is linked here.
Please give a try on the demo scripts and feel free to open issues or contact us (yezhao@utexas.edu, lsentis@austin.utexas.edu).
License: "https://githubusercontent.com/YeZhao/phase-space-planner-locomotion/master/LICENSE.TXT"