Yipeng Huangfu
Beijing University of Technology, National University of Singapore
Papers
2
Total Citations
17
H-Index
2
About
Yipeng Huangfu is a pioneering researcher at the intersection of visuotactile sensing and legged robotics, whose work is redefining how robots perceive and interact with their environments. Huangfu’s primary contributions lie in two groundbreaking areas: high-precision 3D reconstruction through novel tactile sensors and autonomous navigation for quadruped robots. In the realm of tactile sensing, Huangfu developed the GelStereo-type sensor, a revolutionary technology that enables accurate 3D contact shape measurement on bionic curved surfaces. This work, published in 2023 and garnering 12 citations, overcomes the critical challenge of multi-medium ray refraction, setting a new standard for visuotactile precision. Complementing this, Huangfu’s 2024 paper on robot dog navigation—cited 5 times—integrates sophisticated Model Predictive Control and Whole-Body Control frameworks, allowing quadruped robots to autonomously traverse rough terrain with unprecedented stability. By bridging soft tactile sensing and robust motion control, Huangfu’s research directly advances the capabilities of robots in unstructured environments, from industrial inspection to search-and-rescue. These achievements mark Huangfu as a rising leader in embodied AI, whose work promises to unlock more dexterous and autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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