Max Robotics — Global Service Robot Directory + US Certification

About

Fengfeng Zhang is a prominent researcher at the intersection of surgical robotics, medical navigation, and computer-assisted surgery, whose work has significantly advanced the precision and safety of modern minimally invasive and robot-assisted procedures. With a research career spanning nearly two decades, Zhang has made foundational contributions to augmented reality surgical navigation, earning particular recognition for his 2020 study optimizing virtual-real registration technology, which has accumulated 69 citations and addressed critical limitations in traditional two-dimensional surgical interfaces by enabling richer spatial visualization of lesion areas. Zhang's expertise extends across several interconnected domains, including force sensing in minimally invasive surgical micromanipulators (24 citations), three-dimensional localization for robot-assisted spine surgery, and laparoscope arm positioning using reinforcement learning. His early work on virtual simulation systems for orthopedic surgery, dating to 2007, demonstrated a forward-thinking commitment to surgical training and operative planning through immersive technology. More recently, Zhang has expanded into robotic radiosurgery, developing sophisticated correlation models linking skin surface motion to internal tumor movement — a critical advancement for respiratory tracking during stereotactic treatments. Collectively, his body of work, totaling over 150 citations, reflects a sustained dedication to improving surgical accuracy, patient safety, and the intelligent integration of robotics into clinical practice.