My current research interest lies at the intersection of machine learning and robotics, which aims at enhancing the level of autonomy for robotics. I have built compact and effective remote controllers for robotic surgery, and implemented human-robot shared control to improve the efficiency for robotic surgery.

Conventional stationary remote controllers for robotic surgery are stable and have high precision. However, the high cost, large footprint limit their widespread uptake. Handheld remote controller has the advantages of being compact, lightweight and easy-to-use. Therefore, I have developed a compact remote controller based on an effective workspace analysis framework and a handheld remote controller for microsurgical robot control in 2019. To enable seamless human-robot shared control, I proposed an ergonomic workspace analysis method to optimize the workspace of the remote controller in 2020. I am working on adaptive human-robot interaction interface to realize human-robot shared control using robotic arms to assist human’s daily life. I have been developing supervised semi-autonomous control approach to combine the strengths of the humans’ judgements and the robot’s intelligence to ensure reliable remote control for surgical robots.