Papers
2
Total Citations
66
H-Index
2
About
Quanbo Ge is a leading researcher in robotics and intelligent systems, with a primary focus on dynamic balance control, compliant robotics, and robust vision-based navigation. His most-cited work, "Dynamic Balance Optimization and Control of Quadruped Robot Systems With Flexible Joints" (2015, 53 citations), addresses a critical challenge in legged locomotion: maintaining stability under external perturbations. By formulating constrained dynamic models and reduced-order control strategies for robots with compliant joints, Ge’s contributions have advanced the practical deployment of quadruped robots in unstructured environments. More recently, his 2023 paper on "Saliency-Induced Moving Object Detection for Robust RGB-D Vision Navigation" (13 citations) tackles the problem of robot localization in complex, dynamic settings—a key barrier in intelligent transportation systems. By integrating saliency detection with RGB-D data, Ge’s approach enhances motion estimation accuracy even in the presence of moving obstacles. His work bridges theoretical modeling and real-world application, making him a notable figure in the fields of robotic control and autonomous navigation.
Research Focus
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Top Papers
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