Title
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 (CoM) and the next position of the feet are given by a pattern generator. The pattern generator is able to automatically find the footsteps for a given direction. Then, an inverse dynamics control scheme relying on a quadratic programming optimization solver is used to let each foot go from its initial to final position, controlling also the CoM 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.
Year
DOI
Venue
2014
10.1142/S0219843614410047
INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS
Keywords
Field
DocType
Humanoid, walking, dynamics, vision
Computer vision,Simulation,Computer science,Digital pattern generator,Stereopsis,Terrain,Artificial intelligence,Quadratic programming,Inverse dynamics,Solver,Robot,Center of mass
Journal
Volume
Issue
ISSN
11
2
0219-8436
Citations 
PageRank 
References 
1
0.35
4
Authors
6
Name
Order
Citations
PageRank
Oscar E. Ramos1323.64
Mauricio J. García Vazquez210.35
Nicolas Mansard349039.67
Olivier Stasse4143885.86
Jean-Bernard Hayet59314.93
Philippe Souères632343.63