Papers
7
Total Citations
83
H-Index
4
About
Zhenfeng Gu is a leading researcher in robotics, specializing in autonomous navigation and localization for climbing robots and RFID-based systems. His work bridges the gap between industrial automation and advanced sensing technologies, with a focus on enabling robots to operate on large, variable-curvature surfaces—such as those found in aerospace or shipbuilding components. Gu’s major contributions include the development of RF-SLAM, a groundbreaking method that uses commercial off-the-shelf UHF-RFID tags to simultaneously map a warehouse environment and localize a robot without external sensors, achieving 36 citations. He also pioneered the Climb-Odom system, a robust, low-drift visual-inertial odometry for climbing robots on freeform surfaces, and proposed active compliance suction units for machining robots on complex geometries. His work on tether-based global localization and nonlinear model predictive control (LESO-NMPC) for tracking on variable-curvature surfaces has garnered over 60 total citations. Gu’s research is notable for its practical impact, offering scalable solutions for smart warehouses and large-component machining, with innovations that reduce reliance on expensive sensors while enhancing precision and safety.
Research Focus
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