- author = "Wei-Po Lee and John Hallam and Henrik Hautop Lund",
- title = "A Hybrid {GP/GA} Approach for Co-evolving Controllers and Robot Bodies to Achieve Fitness-Specified Tasks",
- booktitle = "Proceedings of the 1996 {IEEE} International Conference on Evolutionary Computation",
- year = "1996",
- pages = "384--389",
- address = "Nagoya, Japan",
- month = "20-22 " # may,
- organisation = "IEEE Neural Network Council",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, Robot control, Robotics and automation, Robot sensing systems, Automatic control, Intelligent robots, Turning, Vehicles, Infrared sensors, Artificial intelligence",
- ISBN = "0-7803-2902-3",
-
URL = "
ftp://ftp.daimi.au.dk/pub/stud/hhl/bodyplan.ps.Z",
-
URL = "
http://citeseer.ist.psu.edu/lee96hybrid.html",
-
DOI = "
doi:10.1109/ICEC.1996.542394",
- size = "6 pages",
- abstract = "Evolutionary approaches have been advocated to automate robot design. Some research work has shown the success of evolving controllers for the robots by genetic approaches. As we can observe, however, not only the controller but also the robot body itself can affect the behaviour of the robot in a robot system. We develop a hybrid GP/GA approach to evolve both controllers and robot bodies to achieve behavior-specified tasks. In order to assess the performance of the developed approach, it is used to evolve a simulated agent, with its own controller and body, to do obstacle avoidance in the simulated environment. Experimental results show the promise of this work. In addition, the importance of co-evolving controllers and robot bodies is analysed and discussed",
-
notes = "ICEC-96 Evolves controller for (simulated?) mobile
robot
",
