Jingfu Zheng
Papers
3
Total Citations
17
H-Index
2
About
Jingfu Zheng is a researcher at the forefront of mobile robotics and intelligent control systems, with a focus on enhancing the autonomy and adaptability of robots in unstructured environments. His primary research areas include balance control for bipedal wheel-legged robots, hand-eye calibration for industrial manipulators, and real-time small-object detection for service robots. Zheng’s most notable contribution is his development of a friction feedforward linear quadratic regulator (LQR) for bipedal wheel-legged robots, a method that significantly improves balance stability in underactuated systems—a critical challenge in next-generation mobile robotics. This work has garnered 10 citations since 2025, reflecting its timely impact. He has also advanced industrial automation with a data augmentation and actor-critic network approach to hand-eye calibration (5 citations), reducing data collection burdens while boosting accuracy. Additionally, his lightweight detection method for home service robots (2 citations) demonstrates his commitment to practical, efficient AI solutions. Zheng’s work bridges theoretical control theory and applied robotics, making him a rising voice in the field.
Research Focus
Key Achievements
Top Papers
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