Cited By
View all- Szorkovszky AVeenstra FGlette K(2023)From real-time adaptation to social learning in robot ecosystemsFrontiers in Robotics and AI10.3389/frobt.2023.123270810Online publication date: 4-Oct-2023
The joint evolution of morphologies and controllers of robots leads to a problem: Even if the parents have well-matching bodies and brains, the stochastic recombination can break this match and cause a body-brain mismatch in their offspring. This can be ...
We investigate the joint evolution of morphologies (bodies) and controllers (brains) of modular robots for multiple tasks. In particular, we want to validate an approach based on three premises. First, the controller is a combination of a user-...
This paper studies the effects of different environments on morphological and behavioral properties of evolving populations of modular robots. To assess these properties, a set of morphological and behavioral descriptors was defined and the evolving ...
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