Papers
3
Total Citations
20
H-Index
2
About
Hu Fu’s research lies at the intersection of mobile robotics, biomimetic vision, and rough-terrain locomotion. His most impactful work, “Visual Contact Angle Estimation and Traction Control for Mobile Robot in Rough-Terrain” (2013, 14 citations), introduces a novel method for estimating wheel-ground contact angles using visual feedback, enabling mobile robots to maintain traction and stability on uneven surfaces—a critical challenge for field robotics. Expanding on this, Fu explored coordinated movement between a chameleon-inspired binocular visual system and a wheeled mobile robot (2014, 4 citations), proposing a “negative correlation” control strategy that mimics biological eye-neck coordination for swift and accurate target tracking. His technical depth extends to kinematics modeling, as seen in his work on articulated five-wheeled robots (2013, 2 citations), where he derived full 6-DOF motion models accounting for caster and camber effects. While Fu’s citation counts reflect a focused, early-career impact, his contributions are notable for bridging visual perception and mechanical design in unstructured environments—a foundation for autonomous systems operating in agriculture, disaster response, or planetary exploration. His work offers practical insights for researchers tackling real-world robot mobility.
Research Focus
Key Achievements
Top Papers
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