W. Lee, J. Hallam, and H. Lund. A hybrid gp/ga approach for co-evolving controllers and robot bodies to achieve fitness-specified tasks. In Proceedings of IEEE 3rd International Conference on Evolutionary Computation, pages 384--389. IEEE Press, 1996. Home/Search Document Details and Download
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Evolving Sensor Suites For Enemy Radar - Detection Ayse Yilmaz (Correct)
....of ten different optimization techniques in structural design optimization. The distributed Genetic Algorithm (DGA) and various hybrid methods (DGA with gradient descent, Simulated Annealing with gradient descent) appear to have significant advantages over the other techniques tested. Lee et al. [4] develop a hybrid approach to evolve both controllers and robot bodies for performing specific tasks. They evolve physical body parameters such as the number and location of sensors and show that the design of robot body considerably can affect the behavior of the system. Bugajska et al. 5] ....
Lee, W., Hallam, J., Lund, H.: A hybrid gp/ga approach for co-evolving controllers and robot bodies to achieve fitness-specified tasks. In: Proceedings of IEEE third International Conference on Evolutionary Computation. (1996)
Three Generations of Automatically Designed Robots - Pollack, Lipson, Hornby, Funes (2001) (Correct)
....body and environment. Therefore, we have been working to co evolve both the brain and the body, simultaneously and continuously, from a simple controllable mechanism to one of sufficient complexity for a particular specialized task. Although we were not first to propose brain body coevolution [6, 24, 27], we have reduced it to practice several times. Over the next decade, we see three technologies that are maturing past threshold to make possible a new industry of inexpensive automatically designed machines. One is the increasing fidelity of advanced mechanical simulation, stimulated by profits ....
W. Lee, J. Hallam, and H. Lund. A hybrid gp/ga approach for co-evolving controllers and robot bodies to achieve fitness-specified tasks. In Proceedings of IEEE 3rd International Conference on Evolutionary Computation, pages 384--389. IEEE Press, 1996.
The Road Less Travelled: Morphology in the Optimization of.. - Paul, Bongard (2001) (2 citations) (Correct)
....morphologies and neural controllers was conducted in a virtual physics based simulation environment by Sims[18] and made clear the strong interdependence between morphology and control. Similar work in coevolving controllers and body plans for obstacle avoidance in simulation followed by Lee et al.[12] and for real world robots by Lipson and Pollack[13] The effect of morphological attributes specifically on locomotive performance was studied by Bongard and Paul[1] and Chocron and Bidaud[4] While these projects provide the theoretical inspiration for this work, their loosely constrained ....
W. Lee, J. Hallam and H. H. Lund. A hybrid GP/GA approach for co-evolving controllers and robot bodies to achieve fitness-specific tasks. In Proceedings of IEEE Third International Conference on Evolutionary Computation, Nagoya, Japan, 1996.
Coordination And Synchronization Of Locomotion In A Virtual Robot - Teo, Abbass (2002) Self-citation (Robot) (Correct)
.... the recent convergence in the maturation of physics based simulation packages and increase of raw computing power of personal computers [18] Research in this area generally falls into two categories: 1) the evolution of controllers for creatures with fixed [4, 9] or parameterized morphologies [12, 16], and (2) the evolution of both the creatures morphologies and controllers simultaneously [8, 11, 14, 18] Some work has also been carried out in evolving morphology alone [6] and evolving morphology with a fixed controller [13] Related work using mobile robots have also shown promising results ....
Wei-Po Lee, John Hallam, and Henrik J. Lund. A hybrid GP/GA approach for co-evolving controllers and robot bodies to achieve fitness-specific tasks. In Proceedings of the 3rd IEEE International Conference on Evolutionary Computation, pages 384--389, Piscataway, NJ, 1996. IEEE Press.
Three Generations of Automatically Designed - Robots Jordan Pollack (Correct)
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W. Lee, J. Hallam, and H. Lund. A hybrid gp/ga approach for co-evolving controllers and robot bodies to achieve fitness-specified tasks. In Proceedings of IEEE 3rd International Conference on Evolutionary Computation, pages 384--389. IEEE Press, 1996.
Evolutionary Fabrication: The Co-Evolution of Form and Formation - Rieffel (2006) (Correct)
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W.-P. Lee, J. Hallam, and H. H. Lund. A hybrid GP/GA approach for coevolving controllers and robot bodies to achieve fitness-specified tasks. In Proceedings of the 1996.
Designing Teams of Unattended Ground Sensors Using - Genetic Algorithms Ayse (Correct)
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W. Lee, J. Hallam, and H. Lund, "A hybrid gp/ga approach for co-evolving controllers and robot bodies to achieve fitness-specified tasks," in Procs of IEEE third International Conference on Evolutionary Computation, 1996.
Computer Creativity in the Automatic Design of Robots - Pollack, Hornby, Lipson, Funes (2002) (Correct)
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W. Lee, J. Hallam, and H. Lund. A hybrid gp/ga approach for co-evolving controllers and robot bodies to achieve fitness-specified tasks. In Proceedings of IEEE 3rd International Conference on Evolutionary Computation, pages 384--389. IEEE Press, 1996.
Three Generations of Automatically Designed Robots - Pollack, Lipson, Hornby, Funes (2002) (Correct)
No context found.
W. Lee, J. Hallam, and H. Lund. A hybrid gp/ga approach for co-evolving controllers and robot bodies to achieve fitness-specified tasks. In Proceedings of IEEE 3rd International Conference on Evolutionary Computation, pages 384--389. IEEE Press, 1996.
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