Corpus ID: 18043632

Embodied Evolution : A Response toChallenges in Evolutionary

@inproceedings{Ficici1999EmbodiedE,
  title={Embodied Evolution : A Response toChallenges in Evolutionary},
  author={RoboticsSevan G. Ficici and Richard A. Watson and Jordan B. Pollack},
  year={1999}
}
We introduce Embodied Evolution (EE), a new methodology for conducting evolutionary robotics (ER). Embodied evolution uses a population of physical robots that evolve by reproducing with one another in the task environment. EE addresses several issues identiied by researchers in the evolutionary robotics community as problematic for the development of ER. We review results from our rst experiments and discuss the advantages and limitations of the EE methodology. 
2 Citations
Embodied Evolution with a New Genetic Programming Variation Algorithm
TLDR
A new Evolutionary Control System (ECS) able to control a population of mobile robots based on a Genetic Programming algorithm and has two main modules, which are responsible for managing all the evolutionary process in each robot. Expand
Adaptation and Self-adaptation of Developmental Multi-Robot Systems
TLDR
This work discusses mechanisms, leading to adaptive and self-adaptive behavior, as well as possible conflicts between them, exemplified by a collective locomo - tion of reconfigurable multi-robot system. Expand

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