Toward Reactive Vision-Guided Walking on Rough Terrain: An Inverse-Dynamics Based Approach

Abstract

This work presents a method to handle walking on rough terrain using inverse dynamics control and information from a stereo vision system. The ideal trajectories for the center of mass and the next position of the feet are given by a pattern generator. Then, an inverse dynamics control scheme relying on a quadratic programming optimization solver is used to let each foot go from its initial to its final position, controlling also the center of mass and the waist. A 3D model reconstruction of the ground is obtained through the robot cameras located on its head as a stereo vision pair. The model allows the system to know the ground structure where the swinging foot is going to step on. Thus, contact points can be handled to adapt the foot position to the ground conditions.

DOI: 10.1142/S0219843614410047

Extracted Key Phrases

1 Figure or Table

Cite this paper

@article{Ramos2014TowardRV, title={Toward Reactive Vision-Guided Walking on Rough Terrain: An Inverse-Dynamics Based Approach}, author={Oscar E. Ramos and Mauricio J. Garc{\'i}a Vazquez and Nicolas Mansard and Olivier Stasse and Jean-Bernard Hayet and Philippe Sou{\`e}res}, journal={I. J. Humanoid Robotics}, year={2014}, volume={11} }