Evolving visual object recognition for legged robots

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3020, Issue , 2004, Pages 181-191

  Zagal, Juan Cristóbal ^a   Ruiz Del Solar, Javier ^a   Guerrero, Pablo ^a   Palma, Rodrigo ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; ROBOTS; SPORTS;

DECISION RULES; IMAGE REGIONS; LEARNING APPROACH; LEGGED ROBOTS; PARAMETERS TUNING; RULE SELECTION; SUPERVISED LEARNING APPROACHES; VISUAL OBJECT RECOGNITION;

OBJECT RECOGNITION;

EID: 46149119215     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25940-4_16     Document Type: Conference Paper

References (14)

1. Andre, D.: Automatically Defined Features-The Simultaneous Evolution of 2-Dimensional Feature Detectors and an Algorithm for Using Them. In: Kinnear, K. (eds.): Advances in Genetic Programming. MIT Press, Cambridge, Massachusetts (1994) 477-494.
2. Chalup, S., Creek, N., Freeston, L., Lovell, N., Marshall, J., Middleton, R., Murch, C., Quinlan, M., Shanks, G.: When NUbots Attack! The 2002 NUbots Team Report. Newcastle Robotics Laboratory. The University of New Castle. NSW 2308, Australia (2002) http://robots.newcastle.edu.au/NUbotFinalReport.pdf
3. Chen, S., Siu, M., Vogelgesang, T., Fai Yik, T., Hengst, B., Bao Pham, S., Sammut, C.: The UNSW RoboCup 2001 Sony Legged Robot League Team. In: Birk, A., Coradeschi, S., Tadokoro, S, (eds.): RoboCup 2001: Robot Soccer World Cup V. Springer-Verlag Berlin, Germany (2002) 39-48.
4. Cliff, D., Husbands, P., Harvey, I.: Evolving Visually Guided Robots. In: Meyer, J. A., Roitblat, H., Wilson, S. (eds.): Proceedings of the Second International Conference on Simulation of Adaptive Behaviour (SAB92). MIT Press Bradford Books, Cambridge, MA (1993) 374-383.
5. Cliff, D., Harvey, I., Husbands, P.: General Visual Robot Controller Networks via Artificial Evolution. In: Casement, D. (eds.): Proceedings of the Society of Photo-Optical Instrumentation Engineers Conference (SPIE-93), Session on Intelligent Robots and Computer Vision XII: Algorithms and Techniques, Boston, MA (1993)
6. Johnson, M., Maes, P., Darrell, T.: Evolving Visual Routines. In: Brooks, R., Maes, P. (eds.): Artificial Life IV. MIT Press (1994) 198-209.
7. Koza, J.: Genetic Programming. MIT Press, Cambridge, Massachusetts (1992)
8. Koza, J.: Genetic Programming II: Automatic Discovery of Reusable Programs. MIT Press, Cambridge, Massachusetts (1994)
9. Köppen, M., Teunis, M., Nickolay, N.:A Framework for the Evolutionary Generation of 2D-Lookup Based Texture Filters. In: Proceeding of Lizuka Conference, Lizuka, Japan (1998) 965-970
10. Martin, M. C.: Genetic Programming for Robot Vision. In: SAB 2002, the Seventh International Conference on the Simulation of Adaptive Behaviour (2002).
11. Martin, M.C.: Genetic Programming for Real World Robot Vision. In: Proceedings of the 2002 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), EPFL, Lausanne, Switzerland, September-October (2002) 67-72
12. Nguyen, T., Huang, T.: Evolvable 3d Modeling for Model-Based Object Recognition Systems, In: Kenneth, E. (eds.): Advances In Genetic Programming. MIT Press (1994) 459-475
13. Teller, A., Veloso, M.: PADO: A New Learning Architecture for Object Recognition. In: Ikeuchi, K., Veloso, M. (eds.): Symbolic Visual Learning, Oxford University Press (1996) 81-116
14. Veloso, M., Lenser, S., Vail, D., Roth, M., Stroupe, A., Chernova, S.: CMPack-02: CMU's Legged Robot Soccer Team. Carnegie Mellon University Report (2002) https://www.openr.org/page1-2003/code2002SDK/CMU/cmu-teamdesc.pdf