We study algorithms that allow robots to perceive and explore the environment, by manipulating objects and interacting with humans. Motivated by research on human perception, our strategy seeks to explore active perception and multi-modal integration, whereby the robot actively explores the environment to improve perception and learning, leveraging on various sensory modalities. We perform a mix of basic and applied research in domains spanning rehabilitation, human-robot collaboration, service and industrial robotics. We also seek to extend robot autonomy with the development of software tools and methodologies for modelling and deploying robot behaviors.

We are among the groups that have contributed to the development of the iCub robot. Our laboratories are equipped with several humanoid robots (one iCub, an R1 and an ergoCub humanoid robots), a Panda arm with a Robotiq gripper. Equipment includes HPC servers, a small machine shop, mechanical and electronic design facilities.

The team is composed of computer scientists and engineers with competences spanning computer vision, signal processing, machine learning and software engineering.

To know more about our group you can follow the links on the top menu

• Research: a list of research topics and research projects
• Software: a list of open source software and datasets
• Media: gallery of pictures and videos demonstrating results of our research
• Publications

Interested in joining us? Have a look at our openings at the right side of this page.