Huan He
Papers
2
Total Citations
62
H-Index
2
About
Huan He is a robotics researcher whose work spans path planning, bipedal locomotion, and intelligent control systems. His most influential contribution, "Global optimal path planning for mobile robot based on improved Dijkstra algorithm and ant system algorithm" (2006), has garnered 60 citations, demonstrating its lasting impact on autonomous navigation. In this work, He enhanced classical Dijkstra's algorithm by integrating ant colony optimization, enabling mobile robots to find globally optimal paths in complex environments—a key advance for real-world deployment. He also contributed to humanoid robotics with his 2004 paper on an online computational scheme for dynamic walking of anthropomorphic biped robots. This work introduced a novel real-time control framework that leveraged the Luh-Walker-Paul algorithm for single-foot support phases, addressing the critical challenge of stable, efficient bipedal locomotion. By combining theoretical rigor with practical implementation, He’s research has helped bridge the gap between algorithmic foundations and robotic applications. His work remains relevant for researchers in mobile robotics, path planning, and humanoid locomotion, offering foundational insights for developing more autonomous and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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