At the Autonomous Systems Lab we develop human-centric robotics which enables robots to learn from humans, understand human intent, and assist humans in everyday environments. Our research focuses on developing AI algorithms for robots operating in the physical world and in close interaction with people.

To create intuitive robots that meet humans’ expectations of robotic companions, we study human beings and transfer the discovered mechanisms to robotic systems. In this way, robots can learn new skills without explicit engineering or manual programming, and can acquire complex tasks incrementally in a generalized framework. By bridging learning from observations, robot motor control, and learning from self-practice and interaction with humans, robots will be capable of performing complex tasks robustly under uncertainties.