TY - GEN
T1 - Evolving vision controllers with a two-phase genetic programming system using imitation
AU - Barate, Renaud
AU - Manzanera, Antoine
PY - 2008/10/27
Y1 - 2008/10/27
N2 - We present a system that automatically selects and parameterizes a vision based obstacle avoidance method adapted to a given visual context. This system uses genetic programming and a robotic simulation to evaluate the candidate algorithms. As the number of evaluations is restricted, we introduce a novel method using imitation to guide the evolution toward promising solutions. We show that for this problem, our two-phase evolution process performs better than other techniques.
AB - We present a system that automatically selects and parameterizes a vision based obstacle avoidance method adapted to a given visual context. This system uses genetic programming and a robotic simulation to evaluate the candidate algorithms. As the number of evaluations is restricted, we introduce a novel method using imitation to guide the evolution toward promising solutions. We show that for this problem, our two-phase evolution process performs better than other techniques.
UR - https://www.scopus.com/pages/publications/54249166602
U2 - 10.1007/978-3-540-69134-1_8
DO - 10.1007/978-3-540-69134-1_8
M3 - Conference contribution
AN - SCOPUS:54249166602
SN - 3540691332
SN - 9783540691334
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 73
EP - 82
BT - From Animals to Animats 10 - 10th International Conference on Simulation of Adaptive Behavior, SAB 2008, Proceedings
T2 - 10th International Conference on Simulation of Adaptive Behavior, SAB 2008
Y2 - 7 July 2008 through 12 July 2008
ER -