| S. G. Ficici, R. A. Watson, and J. B. Pollack. Embodied evolution: A response to challenges in evolutionary robotics. In J. L. Wyatt and J. Demiris, editors, Proceedings of the Eighth European Workshop on Learning Robots, pages 14--22, 1999. |
....In his work the assumption is also that the robots are equipped with short ranged wireless communication, but the communication system is analysed with abstract communication in mind and the communication range is therefore seen as a problem instead of an advantage. In the work by Ficici et al.[14] the use of local communication is exploited in embodied evolutionary robotics. When a robot gets close to a light source it is considered successful and is given energy that it can use to transmit its genes to other robots. This is not enough though since the robot has to be within close ....
R.A. Watson S.G. Ficici and J.B. Pollack. Embodied evolution: A response to challenges in evolutionary robotics. Eighth European Workshop on Learning Robots, pages 14--22, 1999.
....We tried to use very simple approaches to solve the problem in order to nd the lower bounds of robot and algorithm complexity needed to eat all the food pellets lying along the trail. This task turned out to be a real challenge, particularly for the real world setup. Embodied evolution (EE) [7,18] avoids the pitfalls of the simulate and transfer approach. Ficici et al. describe the method as follows: iWe dene EE as evolution taking place within a population of real robots where evaluation, selection, and reproduction are carried out by and between the robots in a distributed, asynchronous, ....
....the simulate and transfer approach. Ficici et al. describe the method as follows: iWe dene EE as evolution taking place within a population of real robots where evaluation, selection, and reproduction are carried out by and between the robots in a distributed, asynchronous, and autonomous mannerj [7]. This technique allows to speed up evaluation time through parallelism. Note that in EE, there is no central controller or supervisor. EE also highlights the need for populations of real robots. The problems occurring when transferring an algorithm from simulation to reality are mostly due to ....
S. G. Ficici, R. A. Watson, and J. B. Pollack. Embodied Evolution: A Response to Challenges in Evolutionary Robotics. In J. L. Wyatt and J. Demiris, editors, Proceedings of the Eighth European Workshop on Learning Robots, pages 1422, 1999.
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S. G. Ficici, R. A. Watson, and J. B. Pollack. Embodied evolution: A response to challenges in evolutionary robotics. In J. L. Wyatt and J. Demiris, editors, Proceedings of the Eighth European Workshop on Learning Robots, pages 14--22, 1999.
....evolutionary method allows the potential for being scaled to very large populations of robots, on the order of hundreds or thousands, thus enabling speedup that is critical when using evolution in real robots. Technologically, this introduces two main problems: long term power and reprogramming [28,29]. Many robots batteries last only for a few hours, and robots typically have to be attached to a PC for new programs to be uploaded. In order to do large group robot learning experiments, we have designed a continuouspower oor system, and utilized infra red (IR) communications to transfer ....
Ficici, S.G., Watson, R.A., Pollack, J.B.: Embodied evolution: A response to challenges in evolutionary robotics. In Wyatt, J.L., Demiris, J., eds.: Eighth European Workshop on Learning Robots. (1999) 14-22
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Ficici, S. G., Watson, R. A., and Pollack, J. B., Embodied Evolution: A Response to Challenges in Evolutionary Robotics, proceedings of the Eighth European Workshop on Learning Robots, Wyatt, J. L. and Demiris, J. (Eds.), pp. 14-22, 1999.
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S.G. Ficici, R.A. Watson, J.B. Pollack, Embodied evolution: a response to challenges in evolutionary robotics. in: J.L. Wyatt, J. Demiris (Eds.), Proceedings of the Eighth European Workshop on Learning Robots, 1999, p. 1422.
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