Title
Trajectory and foothold optimization using low-dimensional models for rough terrain locomotion.
Abstract
We present a trajectory optimization framework for legged locomotion on rough terrain. We jointly optimize the center of mass motion and the foothold locations, while considering terrain conditions. We use a terrain costmap to quantify the desirability of a foothold location. We increase the gaitu0027s adaptability to the terrain by optimizing the step phase duration and modulating the trunk attitude, resulting in motions with guaranteed stability. We show that the combination of parametric models, stochastic-based exploration and receding horizon planning allows us to handle the many local minima associated with different terrain conditions and walking patterns. This combination delivers robust motion plans without the need for warm-starting. Moreover, we use soft-constraints to allow for increased flexibility when searching in the cost landscape of our problem. We showcase the performance of our trajectory optimization framework on multiple terrain conditions and validate our method in realistic simulation scenarios and experimental trials on a hydraulic, torque controlled quadruped robot.
Year
DOI
Venue
2017
10.1109/ICRA.2017.7989131
ICRA
Field
DocType
Volume
Parametric model,Torque,Trajectory optimization,Control theory,Terrain,Maxima and minima,Control engineering,Acceleration,Engineering,Robot,Trajectory
Conference
2017
Issue
Citations 
PageRank 
1
2
0.39
References 
Authors
14
8
Name
Order
Citations
PageRank
Carlos Mastalli1195.68
Michele Focchi210413.88
Ioannis Havoutis311619.82
Andreea Radulescu4193.61
Sylvain Calinon51897117.63
Jonas Buchli6108172.94
Darwin G. Caldwell72900319.72
Claudio Semini826333.30