University Clinic

Harvey, Stephen

doi:10.1378/chest.11-3137

Cited by 1 publication

(1 citation statement)

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“…We have developed this vision (to our knowledge first described in [Harvey, 1995]) into a methodology we call embodied evolution (EE). We define embodied evolution as evolution that takes place in a population of real robots, and we stipulate that the evolutionary algorithm is to execute in a distributed and asynchronous manner within that population.…”

Section: Introductionmentioning

confidence: 99%

Embodied evolution: embodying an evolutionary algorithm in a population of robots

Watson

Ficiei²,

Pollack

Proceedings of the 1999 Congress on Evolutionary Computation-Cec99 (Cat. No. 99TH8406)

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Abstract-We introduce Embodied Evolution (EE) as a methodology for the automatic design of robotic controllers. EE is an evolutionary robotics (ER) technique that avoids the pitfalls of the simulate-and-transfer method, allows the speed-up of evaluation time by utilizing parallelism, and is particularly suited to future work on multi-agent behaviors. In EE, an evolutionary algorithm is distributed amongst and embodied within a population of physical robots that reproduce with one another while situated in the task environment. We have built a population of eight robots and successfully implemented our first experiments. The controllers evolved by EE compare favorably to hand-designed solutions for a simple task. We detail our methodology, report our initial results, and discuss the application of EE to more advanced and distributed robotics tasks.

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Section: Introductionmentioning

confidence: 99%