Lu ZongJie
Papers
1
Total Citations
10
H-Index
1
About
Lu Zongjie is a leading figure in the field of medical robotics, with a primary focus on the development of advanced control systems for non-invasive brain stimulation. His most significant contribution lies in pioneering dynamic trajectory-tracking control methods for robotic transcranial magnetic stimulation (TMS). Specifically, his highly cited 2018 work introduced a novel approach that leverages force sensors for end-effector gravity compensation, enabling a robotic system to precisely and safely follow a patient's dynamic head movements during treatment. This innovation directly addresses a critical challenge in TMS therapy—maintaining accurate coil positioning despite involuntary patient motion—thereby enhancing both the efficacy and safety of the procedure. With his foundational paper garnering 10 citations, Lu’s work is recognized as a key step toward more adaptive and intelligent therapeutic robots. His research bridges the gap between rigid robotic control and the unpredictable nature of human physiology, establishing him as a notable contributor to the next generation of automated, patient-responsive medical devices.
Research Focus
Key Achievements
Top Papers
- 1