讲座论坛
Interactive Tactile Perception: From Representations to Interactions
发布时间:2019-01-02 09:17:23 3543

演讲人:罗山博士

题  目: Interactive Tactile Perception: From Representations to Interactions

时  间: 2019 年 1月4日(周五)15:30-16:30

地  点:哈工大(深圳) T5305

 

讲座内容:

In the talk, Dr. Shan Luo will focus on the interactive perception with tactile sensing. The talk will start from why tactile sensing is vital in robotic tasks and an introduction to the tactile sensors available to use for robots. Interesting results will then be demonstrated on the object representations using tactile images for object local/global shape recognition, visual-tactile integration and cross-modal data generation.  To make use of the interactions  _between_ the robots  and contacted objects, models on leveraging tactile sensing in different actions and tasks using tactile sensing are also proposed. The talk will close with Shan's view on the future research on interactive perception with tactile sensing.

简历:

     Dr. Shan Luo is a Lecturer in Robotics at the Department of Computer Science, the University of Liverpool. His research interests centre on robotics, in particular robot perception using vision and tactile sensing. Example of the applications are object recognition and localisation, grasping and manipulation, and multimodal sensing fusion. He is leading the robotics laboratory smARTLab that develops the state-of-the-art research in robotics and also applies the research in real-world applications, e.g., participating the RoboCup@work competition to develop robots for factories in the future. Previous to Liverpool, he held academic positions at Harvard University, University of Leeds, and the Computer Science and Artificial Intelligence Laboratory (CSAIL), MIT. Dr. Shan Luo received his Ph.D. in Robotics from King’s College London in 2016. He has published more than 20 high quality research papers in various prestigious journals and international conferences recognized by the world roboticists, e.g., Autonomous Robots, ICRA and IROS. Please refer to Shan's homepage (https://cgi.csc.liv.ac.uk/~shanluo/) for more information.