Personal Robotics Lab
Advancing intelligent robotics for the physical, cognitive and social well-being of humans, through intelligent perception, machine learning, user modelling, cognitive control architectures, and personalised assistance generation.
2 col general content
In the Personal Robotics Lab, we perform research towards intelligent robotic devices that interact with their users, learn from them, and adapt their assistance to maximise their users' physical, cognitive and social well-being. Our research spans several topic areas, including machine learning, user modelling, cognitive architectures, human action analysis, and shared control. We are aiming at advancing fundamental theoretical concepts in these fields, but without ignoring the engineering challenges of the real world, so our experiments involve real robots, real humans, and real tasks.
Our research is of a highly experimental nature and is internationally well recognised both through accepted papers at major conferences such as IJCAI and in leading journals, and through frequent invited presentations.