- author = "Peter Augustsson and Krister Wolff and Peter Nordin",
- title = "Creation Of {A} Learning, Flying Robot By Means Of Evolution",
- booktitle = "GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference",
- editor = "W. B. Langdon and E. Cant{\'u}-Paz and K. Mathias and R. Roy and D. Davis and R. Poli and K. Balakrishnan and V. Honavar and G. Rudolph and J. Wegener and L. Bull and M. A. Potter and A. C. Schultz and J. F. Miller and E. Burke and N. Jonoska",
- year = "2002",
- pages = "1279--1285",
- address = "New York",
- publisher_address = "San Francisco, CA 94104, USA",
- month = "9-13 " # jul,
- publisher = "Morgan Kaufmann Publishers",
- keywords = "genetic algorithms, genetic programming, evolutionary robotics, evolutionary algorithm, flying",
- ISBN = "1-55860-878-8",
-
URL = "
http://fy.chalmers.se/~wolff/Papers/ANW_gecco02.pdf",
-
URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/gecco2002/gecco-2002-22.pdf",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2002/ROB196.ps",
-
URL = "http://gpbib.cs.ucl.ac.uk/gecco2002/ROB196.pdf",
- size = "7 pages",
- abstract = "We demonstrate the first instance of a real on-line robot learning to develop feasible flying (flapping) behavior, using evolution. Here we present the experiments and results of the first use of evolutionary methods for a flying robot. With nature's own method, evolution, we address the highly non-linear fluid dynamics of flying. The flying robot is constrained in a test bench where timing and movement of wing flapping is evolved to give maximal lifting force. The robot is assembled with standard off-the-shelf R/C servomotors as actuators. The implementation is a conventional steady-state linear evolutionary algorithm.",
-
notes = "GECCO-2002. A joint meeting of the eleventh
International Conference on Genetic Algorithms
(ICGA-2002) and the seventh Annual Genetic Programming
Conference (GP-2002)
Winner of the best-paper award at GECCO-2002, in Evolutionary Robotics.",
