Student opportunities

Evolutionary Robotics

Voxel-based soft robots
- Design and development of a neuroevolution approach for building voxel-based soft robot controllable modular components
- Learning techniques for the controllers of voxel-based soft robots: reinforcement learning
- Auto-assembly of voxel-based soft-robots
- Resolution-agnostic representation for evolution of closed-loop controllers
Real robots
- Design and development of an sw framework for experimenting with learning techniques
- Hybrid (real vs. simulated) controller learning for addressing the reality gap
- Reality-gap in multi-agent systems with communication
- PushGP on mobile robots (Thymio-II): a machine-friendly representation for robotic agents controllers

Multi-agent systems
- Evolution of behavioral rules for multi-agent systems: the case of self-driving cars
Development of an Artificial Life simulator for investigating the Alife-Human interactions
Development of an Artificial Life simulator for investigating the evo-devo-niching interplay
Design and development of an Artificial Life system for building living logos for the web