New paper available
Abstract The design of spacecraft trajectories for missions visiting multiple celestial bodies is here framed as a multi-objective bilevel optimization problem. A comparative study is
Unsupervised Identification and Recognition of Situations for High-Dimensional Sensori-Motor Streams
Abstract An important question in self-learning robots is how robots can autonomously learn about and act in their environment in an on-line and unsupervised manner.
A new paper is out!
Abstract Evolutionary robotics using real hardware is currently restricted to evolving robot controllers, but the technology for evolvable morphologies is advancing quickly. Rapid prototyping (3D