Human-robot interaction

Bio-mimetic control and learning

Robotic learning for surface exploration

Collaborators: NUS, IC and DLR

  • ubiquitous interactions between a robot and unknown environments (including humans)
  • robots’ learning by transferring humans’ learning skills studied in human motor control
  • tested in industrial applications such as cutting, drilling and polishing, demonstrating their versatility enabling a robot to interact smoothly with rigid and soft materials

Human intent recognition

Human-robot co-manipulation and tele-operation

NUS, A*STAR, Sussex; Funder: Royal Society

  • human-in-the-loop bringing uncertainty and unmeasurable system states
  • using haptic information and dynamic modelling to enable a robot recognizing human intention and improving collaboration efficiency
  • applications: human-robot collaborative manipulation, tele-operation, exoskeleton, etc

Human-robot interaction frameworks

Robotic rehabilitation and game theory framework

A*STAR, IC; Funder: EPSRC

  • kinaesthetic and tele-operation human-robot interfaces for semi-autonomous industrial robotics
  • game theory to model and design a robot controller for robot-assisted physical training