Description

Title Evolving embodied intelligence in robotic ecosystems
Abstract Evolutionary robotics is the art of employing evolution to develop the brains, the bodies, or both for autonomous robots. In this talk I explain the benefits of the Evolution of Things for engineering as well as for fundamental research. I argue that constructing systems of self-reproducing machines will lead to an exciting mix of evolutionary computing, robotics, and artificial life with new opportunities and challenges. I outline the concept of EvoSphere, a robotic ecosystem that evolves in real space and real time and its underlying system architecture, the Triangle of Life. Regarding the feasibility, I review the first proof-of-concept implementation, our in-house “Robot Baby” project and two international research projects I participate in, PHOENIX (EU, FET-Open) and “Autonomous Robot Evolution” (UK, EPSRC). Finally, I discuss the perspectives for studies into evolution, the emergence of intelligence, and the interplay between body and brain.