报告内容摘要：

In human-robot interaction (HRI), especially social robot, user intention is one of the key elements in the control loop of a user-friendly, intuitive and intelligent interaction. In this talk, I will give some examples of our recent projects in which user intention is detected, learned and applied in the HRI on mobile robots, wearable robots and surgical robots. Such as gaze tracking of a group of people, robot navigation with social compliance and user motion prediction in catheter robots.
 
报告人简介：

Dr. Liu is a research fellow at the Hamlyn Centre for Robotic Surgery. He is interested in fields of biologically inspired robotics and translational research for both clinical and healthcare applications. He mainly focuses on assistive devices and robotics. He translated his research on sound perception to a wearable food-intake monitor device which can help obesity patients to assess their diet. In 2011, he developed a healthcare mobile robot with natural human-robot interaction. From 2013, he invented a catheter robot to automate the catheter insertion and manipulator in order to reduce the radiation dose for surgeon. He also designed and implemented a robotic arm to assist surgeons to position and manipulate instrument easily. His articles have been published in British Journal of Nutrition, Neurocomputing and Journal of Bionic Engineering, etc. He is a committee member of several IEEE conferences and sit in the review board of IEEE/Springer journals such as IEEE Trans. of Neural Network, IROS and ICRA, etc. In 2013, his paper had been evaluated as “Most cited Article in 2012” in J. of Bionic Eng.
 
 
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