Longfei Zhao
Papers
7
Total Citations
125
H-Index
5
About
Dr. Longfei Zhao is a leading researcher in medical and collaborative robotics, with a focus on enhancing robotic precision, autonomy, and human-robot interaction. His major contributions span kinematic calibration for surgical robots, dynamic dual-arm manipulation, and vision-based intention recognition. His 2015 paper on absolute accuracy analysis of a hybrid 6-DOF medical robot (47 citations) established a calibration method that significantly improved robot precision in targeted workspaces, directly impacting the development of safer, more reliable medical robots. He also introduced a novel medical parallel robot for 3D vascular ultrasound examination, addressing the challenge of diagnosing peripheral artery disease in complex lower-limb vessels. In collaborative robotics, Zhao developed a unified control architecture for bilateral dual-arm teleoperation with force feedback (10 citations) and a TOPP-MPC-based controller for dynamic multi-object nonprehensile transportation (17 citations). His recent work, TossNet (2024), uses proprioceptive sensing to accurately measure and predict robot throwing in real time, pushing the boundaries of dynamic manipulation. With a growing citation record and innovations that bridge medical precision and autonomous dexterity, Zhao’s research is shaping the future of intelligent robotic systems in both clinical and industrial settings.
Research Focus
Key Achievements
Top Papers
- 1Absolute accuracy analysis and improvement of a hybrid 6-DOF medical robot47 citations · 2015
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