@inproceedings{00283908f9714c9ea62c87921ae3d269,
title = "Obstacle avoidance strategy for biped robot based on Fuzzy Q-Learning",
abstract = "In this paper, we present the first results about dynamic obstacle avoidances using stepping over strategy for biped robots. The proposed approach is based on the Fuzzy Q-Iearning (FQL) concept. The originality of our strategy is that we consider it shouldbe possible to design separately the high-level (path planning) control and the low-level control (gait pattern). The first results show the effectiveness of the proposed approach in the case of a flat dynamic obstacle.",
keywords = "Biped robot, Fuzzy Q-learning, Obstacle avoidance",
author = "C. Sabourin and K. Madani and W. Yu and J. Yan",
year = "2008",
doi = "10.1142/9789812835772_0084",
language = "英语",
isbn = "9812835768",
series = "Advances in Mobile Robotics - Proceedings of the 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008",
publisher = "World Scientific Publishing Co. Pte Ltd",
pages = "695--702",
booktitle = "Advances in Mobile Robotics - Proceedings of the 11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008",
note = "11th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2008 ; Conference date: 08-09-2008 Through 10-09-2008",
}