- author = "K. Wolff and P. Nordin",
- title = "Evolutionary Learning from First Principles of Biped Walking on a Simulated Humanoid Robot",
- booktitle = "Proceedings of the Business and Industry Symposium of the Advanced Simulation Technologies Conference (ASTC'03)",
- year = "2003",
- editor = "M. Ades and L. M. Deschaine",
- pages = "31--36",
- address = "Orlando, FL, USA",
- month = mar # " 30-" # apr # " 3",
- publisher = "SCS",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://fy.chalmers.se/~wolff/robot1.avi",
-
URL = "http://publications.lib.chalmers.se/publication/72902",
- abstract = "We describe the first instance of a novel approach for control programming of humanoid robots, based on evolution. To overcome some of the difficulties with evolution on real hardware, we use a physically realistic simulation of the robot. The essential idea is to evolve control programs from first principles on a simulated robot, transfer the programs to the real robot, and continue to evolve on the robot. As the key motivation for using simulators, we describe an on-line learning experiment with a humanoid robot. The Genetic Programming system is implemented as a Virtual Register Machine, with a linear genome, and steady state tournament selection. Evolution created controller programs that made the simulated robot produce forward locomotion behaviour.",
-
notes = "robot1.avi ok Sep 2018 1493492 bytes 31 seconds.
",
