People

NEAR Lab is a multidisciplinary and multicultural team united by a shared vision for neuro-embodied adaptive robotics and a strong passion for building intelligent physical systems. We believe ambitious research is a team achievement: each of us stands on the shoulders of the group, and great success comes from shared curiosity, trust, rigor, and hands-on work.

Principal Investigator

PI Photo

Dr. Weibin Gu

Postdoctoral Fellow
Institute for AI Industry Research (AIR), Tsinghua University

Dr. Weibin Gu is a Postdoctoral Fellow and Shuimu Tsinghua Scholar at the Institute for AI Industry Research (AIR), Tsinghua University, collaborating with Prof. Ya-Qin Zhang and Prof. Chao Gao. His research focuses on nonlinear control, interpretable robot learning, and bio-inspired robotics, with applications in adaptive robotic systems and autonomous industrial inspection. He earned his Ph.D. in Electronics and Communications Engineering cum laude from Politecnico di Torino under the supervision of Prof. Alessandro Rizzo, where his doctoral research received funding from the 2021 Amazon Research Award. Dr. Gu has published over 15 papers in leading international journals and conferences, holds 4 Chinese patents, and regularly serves as a reviewer for prominent venues including CDC, ACC, L-CSS, ICRA, RA-L, Automatica, and Nature Portfolio journals. He was selected for the Postdoctoral Overseas Talent Introduction Program and funded by the China Postdoctoral Science Foundation. Moving beyond pure research, he is passionate about translating scientific insights into real-world impact by leading teams, prototyping robotic systems, and developing innovative, market-ready technologies that solve tangible industrial challenges.

Team

Chenrui Feng

Chenrui Feng

Research Engineer

Embedded Systems, Simulator, Dynamics and Control, Hardware, Prototyping

Xingchi Jiao

Xingchi Jiao

Research Engineer

Hardware, Embedded Systems, Neuromorphic Computing, Machine Learning, Prototyping

Chen Yang

Chen Yang

Research Intern

Dynamics and Control, Embedded Systems, Machine Learning

Alberto Bellagamba

Alberto Bellagamba

Research Intern

Reinforcement Learning, Simulator

Yuxuan Wang

Yuxuan Wang

Research Intern

Machine Learning, Butterfly Morphology, Prototyping

Junkun Jiang

Junkun Jiang

Research Intern

Navigation, Machine Learning

Yufeng Wang

Yufeng Wang

Research Intern

Reinforcement Learning, Simulator

Yuan Cao

Yuan Cao

Research Intern

Dynamics and Control, Machine Learning

Alumni

  • Ruiyuan Bai — Former Research Intern | Embedded Systems, Hardware | Now MSc student at University of Bristol
  • Lian Liu — Former Research Intern | Mechanical Design, CFD Simulation, Prototyping, Drone Piloting | Now PhD candidate at BIT
  • Rim El Filali — Master's Alumnus | Machine Learning, Neuromorphic Computing, Dynamics and Control | Now at Lumisition Robotics
  • Hengyang Li — Former Research Intern | Aerodynamics, CFD/FSI Simulation, Prototyping | Now at COMAC
  • Dr. Chaolai Da — Former Research Intern | Hardware, FPGA Simulation, Machine Learning | Now Postdoc at IAII, CAS
  • Chun Zhang — Former Research Intern | Machine Learning, Neuromorphic Computing
  • Xiaofei Shi — Former Research Intern | Mechanical Design, Prototyping, Drone Piloting
  • Yuhe Ding — Former Research Intern | Embedded Systems, Dynamics and Control, Prototyping | Now MSc student at ISCAS

Gallery


Join NEAR Lab

We welcome students and collaborators with strong curiosity about our work and a willingness to build, test, and iterate on real systems.

Students interested in joining the lab are expected to have a good academic record and skill sets that match our research directions. Please send a resume and a brief introduction of your background, interests, and goals to guweibin@air.tsinghua.edu.