Generalization performance of vision based controllers for mobile robots evolved with genetic programming

GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008

Volumn , Issue , 2008, Pages 1331-1332

  Barate, Renaud ^a   Manzanera, Antoine ^a  

^a ENSTA PARISTECH   (France)

Author keywords

Generalization; Obstacle avoidance; Robotic simulation; Vision

Indexed keywords

COLLISION AVOIDANCE; GENETIC ALGORITHMS; ROBOT PROGRAMMING; VISION; VISUAL SERVOING;

GENERALIZATION; GENERALIZATION PERFORMANCE; GENETIC PROGRAMMING SYSTEM; OBSTACLE AVOIDANCE ALGORITHMS; ROBOTIC SIMULATION; SIMULATION ENVIRONMENT; TARGET REACHING; VISION-BASED CONTROLLERS;

GENETIC PROGRAMMING;

EID: 57349170745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1389095.1389349     Document Type: Conference Paper

References (4)

1. R. Barate and A. Manzanera. Evolving Vision Controllers with a Two-Phase Genetic Programming System Using Imitation. From Animals to Animals 10, Proceedings of the tenth International Conference on the Simulation of Adaptive Behavior, SAB'08, To Appear, 2008.
2. M. Martin. Evolving visual sonar: Depth from monocular images. Pattern Recognition Letters, 27(11):1174-1180, 2006.
3. A. Saxena, S. Chung, and A. Ng. 3-D Depth Reconstruction from a Single Still Image. International Journal of Computer Vision, 76(1):53-69, 2008.
4. P. Whigham. Grammatically-based genetic programming. Proceedings of the Workshop on Genetic Programming: From Theory to Real-World Applications, pages 33-41, 1995.