I am Weihao Yuan (原玮浩)，a PhD student in Robotics Institute, Department of Electronic & Computer Engineering, Hong Kong University of Science and Technology (HKUST), supervised by Prof. Michael Yu Wang and co-supervised by Prof. Qifeng Chen. I visited Robotics, Perception and Learning Lab, Royal Institute of Technology (KTH) for 6 months, supervised by Prof. Danica Kragic .
I received my B.S. degree from College of Control Science and Engineering, Zhejiang University, majoring in Automation and minoring in Finance.
My research areas include Deep Reinforcement Learning, Robotic Motion Planning, 3D Vision Depth Estimation
Our paper “Self-supervised Object Tracking with Cycle-consistent Siamese Networks” and “Multi-Object Rearrangement with Monte Carlo Tree Search: A Case Study on Planar Nonprehensile Sorting” was accepted by 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Our paper “MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion” was accepted to be published in IEEE Robotics and Automation Letters (RA-L).
Our paper “MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion” was accepted by 2020 IEEE International Conference on Robotics and Automation (ICRA).
Our paper “Toward Learning to Detect and Predict Contact Events on Vision-based Tactile Sensor ” was accepted by Conference on Robot Learning (CoRL) 2019 as oral presentation! (Acceptation rate: 5.3%)
Our paper “End-to-End Nonprehensile Rearrangement with Deep Reinforcement Learning and Simulation-to-Reality Transfer ” was accepted by Robotics and Autonomous Systems (RAS).
Our paper “Reinforcement Learning in Topology-based Representation for Human Body Movement with Whole Arm Manipulation” was accepted by IEEE International Conference on Robotics and Automation (ICRA), May 20-24, 2019, Montreal, Canada.
I have begun the visiting in KTH Royal Institute of Technology, Storkholm, Sweden, as a visiting researcher for next 6 months, working with Prof. Danica Kragic and Dr. Johannes Andreas Stork.
Our paper “Rearrangement with Nonprehensile Manipulation Using Deep Reinforcement Learning” was accepted by IEEE International Conference on Robotics and Automation (ICRA), May 21-25, 2018, Brisbane, Australia.