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Fugen Zhou is a pioneering researcher at the intersection of medical robotics, computer vision, and autonomous systems, with key contributions spanning vascular interventional robotics, satellite pose estimation, and robotic radiotherapy. His most cited work (68 citations) on satellite pose estimation via single perspective circle and line geometry provides a mathematically elegant solution for space robot capture operations, resolving the duality problem in pose recovery. In medical robotics, Zhou developed a remote-controlled vascular interventional robot system (44 citations) that enables surgeons to teleoperate catheters from radiation-safe cabinets, fundamentally improving operator safety during X-ray-guided procedures. His innovations in catheter localization using conventional single C-arm imaging (11 citations) eliminated the need for separate calibration steps by modeling the C-arm as a nonlinear camera. Zhou’s recent work applies PyTorch for plan optimization in circular cone-based robotic radiotherapy (8 citations), accelerating treatment planning for hypo-fractionated delivery. He also developed fast vision-based autonomous detection methods for UAV landing on moving cooperative targets (26 citations). With over 160 total citations across his most-cited works, Zhou’s research demonstrates remarkable breadth—from space robotics to interventional radiology—consistently addressing real-world challenges in image-guided navigation and autonomous perception.