@inproceedings{b7d62dd8626a4f63b343e084c8772539,
title = "Generalization performance of vision based controllers for mobile robots evolved with genetic programming",
abstract = "We present a genetic programming system to design automatically vision based obstacle avoidance algorithms adapted to the current context. We use a simulation environment to evaluate the controllers. By restricting the structure of the algorithms to facilitate the compromise between obstacle avoidance and target reaching, we improve the generalization performance of the algorithms.",
keywords = "Generalization, Obstacle avoidance, Robotic simulation, Vision",
author = "Renaud Barate and Antoine Manzanera",
year = "2008",
month = jan,
day = "1",
doi = "10.1145/1389095.1389349",
language = "English",
isbn = "9781605581309",
series = "GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008",
publisher = "Association for Computing Machinery (ACM)",
pages = "1331--1332",
booktitle = "GECCO'08",
note = "10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008 ; Conference date: 12-07-2008 Through 16-07-2008",
}