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A comparison of controller architectures and learning mechanisms for arbitrary robot morphologies
Jie Luo, Jakub Tomczak, Karine Miras +1
The main question this paper addresses is: What combination of a robot controller and a learning method should be used, if the morphology of the learning robot is not known in adva…
Lamarck's Revenge: Inheritance of Learned Traits Can Make Robot Evolution Better
Jie Luo, Karine Miras, Jakub Tomczak +1
Evolutionary robot systems offer two principal advantages: an advanced way of developing robots through evolutionary optimization and a special research platform to conduct what-if…
Environment induced emergence of collective behaviour in evolving swarms with limited sensing
Fuda van Diggelen, Jie Luo, Tugay Alperen Karagüzel +3
Designing controllers for robot swarms is challenging, because human developers have typically no good understanding of the link between the details of a controller that governs in…
Gait-learning with morphologically evolving robots generated by L-system
Jie Luo, Daan Zeeuwe, Agoston E. Eiben
When controllers (brains) and morphologies (bodies) of robots simultaneously evolve, this can lead to a problem, namely the brain & body mismatch problem. In this research, we prop…