Computational Intelligence Group

This research direction is concerned in developing computational methods for flexibly transferring information and skills between humans and robots through social interaction. This transfer can

The overarching research theme is the automated design of customised robot solutions. Automated design through evolutionary methods or machine learning is a proven approach to

Hu-bot: promoting safety through the cooperation between humans and mobile robots This project investigates human-robot collaboration in a novel setup: a human helps a mobile

We study ethics in social robotics from diverse perspectives. Partner Team Dr. Karine Miras Assistant Professor   Dr. Karine Miras Prof. dr. Guszti Eiben Head

This project concerns the automatic design of morphologies and controllers for a range of tasks in different environments based on the Triangle of Life architecture.

Hybrid Intelligence (HI) is the combination of human and machine intelligence, expanding human intellect instead of replacing it. HI takes human expertise and intentionality into

What makes natural life remarkably complex goes beyond having genes encoding a trait or behavior, as it concerns also mechanisms in the DNA that regulate

A computer that recognises dangerous situations on security footage: this is possible with deep-learning automated systems. But before this kind of system can operate independently,

Imagine an environment where autonomous systems (robots) are not designed by humans (or indeed designed at all) but are created through a series of steps

Data-Driven Lifestyle Support through Smart Devices: [Old Page] Directed locomotion learning for evolving modular robots of arbitrary morphologies: [Old Page] Constrained reinforcement learning for personalization