Dr. Jun Wang

Lecturer

Editor:College of Information Science and Technology Time:2023-05-23

Dr. Jun Wang


Lecturer

Email: wangjunrob@ buct.edu.cn


Background                                                                  

Jun Wang received his Master's degree and Ph.D. degree in the Department of Human and Artificial Intelligent Systems from the University of Fukui, Japan, in 2016 and 2019, respectively. He joined the Department of Precision Instrument, Tsinghua University as a postdoc from 2019 to 2021. His research interests include state estimation, SLAM, particle filter, sensor fusion, and applied robotics.

Areas of Research of Expertise

  • State estimation,

  • SLAM,

  • Unmanned system,

Memberships

Teaching                                          

Undergraduate Teaching

  • Principle of Automatic Control

Postgraduate Teaching

  • Visual control methods for industrial robots

Research                                          

Funded Research Projects

The Fundamental Research Funds for the Central Universities:

  • Research on Technologies of Mobile Robots Based on Multi-sensor Fusion

Publications                                       

  • Jun Wang, Ziyang Meng*, Lei Wang, A UPF-PS SLAM Algorithm for Indoor Mobile Robot with NonGaussian Detection Model. IEEE/ASME Transactions on Mechatronics, 2022, 27(1): 1-11.

  • Jun Wang, Ziyang Meng*, Lei Wang, Efficient Probabilistic Approach to Range-Only SLAM with a Novel Likelihood Model. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 8502312.

  • Jun Wang*, Yasutake Takahashi, SLAM Method Based on Independent Particle Filters for Landmark Mapping and Localization for Mobile Robot Based on HF band RFID System. Journal of Intelligent & Robotic Systems, 2018, 92(3): 413-433.

  • Jun Wang*, Yasutake Takahashi, Particle Smoother-Based Landmark Mapping for the SLAM Method of an Indoor Mobile Robot with a Non-Gaussian Detection Model. Journal of Sensors, 2019, 2019: 3717298.

  • Jun Wang*, Yasutake Takahashi, Indoor Mobile Robot Self localization Based on A Low-Cost Light System with A Novel Emitter Arrangement. ROBOMECH Journal, 2018, 5: 17.