Student opportunities
Evolutionary Robotics
Voxel-based soft robots (VSRs)
Cooperative co-evolution of body and brain of VSRs
Learning techniques for the controllers of VSRs: reinforcement learning
Auto-assembly of VSRs
Grammar-based generative encoding for developing (phenotypically plastic) modular robots
Resolution-agnostic representation for evolution of closed-loop controllers of VSRs
Social/cultural/imitation learning in VSRs
Distributed world models for reconfigurable soft robots
Impact on evolvability of the controller of the replacement of rigid parts with soft ones in modular robots
Real robots
PushGP on mobile robots (Thymio-II): a machine-friendly representation for robotic agents controllers
Artificial Life
Optimization of the policies of a few ruling agents in a multi-agent systems
Modeling and simulation of the academic publishing system for characterizing how incentives of different actors impact on the overall effectiveness
Algorithmical improvements
Two- or multi-stage quality-diversity evolution with a representation based on anchor solutions
Co-evolutionary map-elites
See also the student opportunities at the Machine Learning Lab.