About Me
I am currently a research assistant in Computer Science at Tsinghua University. My work is centered around Imitation Learning, Lifelong Learning, Active Perception and Robotic control. I am extremely interested in robotic learning, which can bring the real intelligence to robots. Before joining Tsinghua, I graduated from Harbin Institute of Technology and Hefei University of Technology with highest honor. My resume can be downloaded [here].
Education
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May 2018 - Present
Tsinghua UniversityResearch Assistant with Prof.Huaping Liu
Beijing - China
- Member of State Key Lab. of Intelligent Systems and Technology
- Research Interests: Imitation Learning, Lifelong Learning and Robotics
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September 2017 - May 2018
Harbin Institute of TechnologyComputer Science and Technology - Master of Engineering
Harbin - China
- Member of Research Center of Multi-agent Robot with Prof.Songhao Piao
- Foundation Courses: Machine Learning, Deep Learning, Robotics
- First Prize Scholarship of Harbin Institute of Technology
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September 2013 - June 2017
Hefei University of TechnologyComputer Science and Technology - Bachelor of Engineering
XuanCheng, Anhui - China
- Team leader of Simulation League of HFUTEngine RoboCup Team
- Undergraduate thesis with Prof.Baofu Fang in 2D laser SLAM
- First Prize Scholarship of HeFei University of Technology
Work Experience
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June. 2016 - Aug. 2017
Technical Committee MemberNagoya - Japan
- Co-organized the competition of RoboCup 3D Simulation League
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2015 - 2019
Organizing Committee MemberChina Robot Competition - China
- Worked in China Robot Competition
Projects
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Online Multi-modal Imitation Learning via Lifelong Intention Encoding
Songhao Piao, Yue Huang and Huaping Liu
- Established a novel IRL imitation learning method with lifelong intention encoding for multi-intention imitation learning problem.
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Lifelong Imitation Learning using Dynamic Movement Primitives
Yue Huang and Huaping Liu
- Established a lifelong imitation learning framework to solve incremental multi-task robot imitation learning problems.
- Developed a LIL-DMPs lifelong imitation learning method by using the low-level control knowledge of robotic manipulation.
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Transfer Learning of Multi-robots
Yue Huang and Hao Liu
- Established a transfer learning frame via SVD for the universal forward dynamics model of various robot arm.
- Prepared for RSS'2020/li>
Publications
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ICARM'19Online Multi-modal Imitation Learning via Lifelong Intention Encoding
Songhao Piao, Yue Huang and Huaping Liu
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ICRA'20Lifelong Imitation Learning using Dynamic Movement Primitives
Yue Huang and Huaping Liu