Papers
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Total Citations
2
H-Index
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About
Dr. Huan Geng is a robotics researcher whose work centers on the intersection of neural networks and bipedal locomotion, with a particular focus on enhancing the stability and adaptive control of humanoid robots. In their most cited work, "Application of Neural Network in the Stability of Biped Robot and Embedded Control of Walking Mode" (2022), Dr. Geng addresses a fundamental challenge in robotics: replicating the flexibility and adaptability of human gait. By integrating neural network algorithms into embedded control systems, they have advanced methods for stabilizing biped robots during dynamic walking, a critical step toward more autonomous and responsive humanoid machines. While their citation count is currently modest, this foundational research contributes to a growing body of work aimed at improving real-time control in complex environments. Dr. Geng’s contributions are particularly relevant for students and researchers exploring bio-inspired robotics, machine learning in control systems, and the practical deployment of neural networks in hardware-constrained platforms. Their work underscores the importance of bridging theoretical algorithms with embedded implementation, offering a pathway for future innovations in assistive robotics and autonomous navigation.
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Top Papers
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