Student opportunities
Evolutionary Robotics
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
Human control of VSRs with a brain-computer interface
Real robots
Hybrid (real vs. simulated) controller learning for addressing the reality gap
PushGP on mobile robots (Thymio-II): a machine-friendly representation for robotic agents controllers
Artificial Life
Artificial Life
Development of an Artificial Life simulator for investigating the Alife-Human interactions
See also the student opportunities at the Machine Learning Lab.