Research topics
Perception and Learning
Our research develops algorithms for robot perception and learning that enable robots to perceive and make sense of their environment, and learn from supervised training, experience and human teachers.
Human-Robot Interaction
We pioneer advanced new methods in developing safe, efficient and accurate human-robot interaction in a variety of contexts, enabling diverse users to collaborate with robots at work, in public settings and in the home.
Design and Manipulation
Our researchers design, test and develop new robot design and manipulation methods, ranging from mechanical design to AI capabilities.
Modelling and Control
Our research advances new learning in modelling and control for robotics through combining classical modelling techniques and optimisation-based control algorithms with state-of-the-art deep learning algorithms.