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About

Dr. Yi Fu is a robotics researcher whose work spans medical robotics and autonomous vehicle control, with a particular focus on developing intelligent systems that enhance precision and safety. A key contribution is the design of a 5-DOF MRI-compatible pneumatic needle puncture robot (2019, 8 citations), which addresses the critical need for high-resolution imaging guidance during percutaneous interventions like biopsy and ablation. This work enables real-time thermal monitoring during energy-based procedures, advancing the capabilities of image-guided surgery. In autonomous navigation, Dr. Fu has made notable contributions to fuzzy logic control systems, including a Lyapunov-stable controller for vision-based road following (2010, 6 citations) and a path planning strategy using fuzzy control theory (2004, 4 citations). These systems simulate human-like driving behaviors, such as natural speed reduction during turns, to improve autonomous vehicle performance. Additionally, Dr. Fu has optimized master manipulators for robot-assisted minimally invasive surgery (2020, 5 citations), focusing on ergonomic design to reduce surgeon fatigue and improve operability. This body of work demonstrates a consistent commitment to bridging control theory with practical robotic applications, from the operating room to the open road.