Xingjian Liu

Xingjian Liu

Professor at Institute of Robotics and Intelligent Systems (IRIS), Dalian University of Technology

Xingjian Liu

I am a Professor of Institute of Robotics and Intelligent Systems (IRIS) at Dalian University of Technology, DUT. I study computer vision, 3D sensing and metrology, and robotics.

Before joining DUT, I was a postdoctoral fellow at Robotics Institute, University of Toronto, working with Prof. Yu Sun. I finished my PhD at Huazhong University of Science & Technology, advised by Prof. Yusheng Shi & Zhongwei Li, and my undergraduate degree from same university, working with Prof. Yu Liu in Dian Group and SeedClass. During my PhD study, I also worked with Prof. Yuhjin Chao at the University of South Carolina (UofSC) as a visiting graduate student.

My research focuses on 3D vision for robotics: 1) Develop 3D sensing/metrology techniques with unprecedented accuracy and efficiency, 2) Develop algorithms that can enable robot to learn manipulation skills necessary to execute manufacturing and medicine tasks.

Latest News

  • 2024-07-30 I will serve as a Technical Editor for IEEE/ASME Transactions on Mechatronics (IEEE/ASME TMECH).
  • 2023-04-11 I was invited as an Associate Editor for IEEE Robotics and Automation Letters (IEEE RA-L).
  • 2023-02-10 I was invited as an Associate Editor (RP: Automation in Meso, Micro and Nano Scale, Industrial Robotics and Mechatronics) for IEEE Conference on Automation Science and Engineering (IEEE CASE 2023).
  • 2023-01-10 I am serving as organizing Co-Chair for the IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR 2023).
  • 2022-10-24 I won Young Elite Scientists Sponsorship (YESS) from China Association for Science and Technology (CAST), cheers!
  • 2022-08-30 Paper entitled “Automated Exposures Selection for High Dynamic Range Structured-Light 3-D Scanning” was published on IEEE Transactions on Industrial Electronics (IEEE TIE).
  • 2022-07-29 Co-authored paper entitled “Ag/CNT-PDMS crack sensing for measuring contractility of cardiomyocytes” won Best Application Paper Award in IEEE International Conference on Manipulation, Automation, and Robotics at Small Scales (IEEE MARSS), 2022.
  • 2022-07-07 Paper entitled “3-D Structured Light Scanning With Phase Domain-Modulated Fringe Patterns” was published on IEEE Transactions on Industrial Electronics (IEEE TIE).

More News.