Yihang Guo

Tianjin Internal Combustion Engine Research Institute, Tianjin University

Papers

Total Citations

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About

Yihang Guo is a robotics researcher specializing in assistive technologies, with a primary focus on guide dog robots and autonomous navigation systems. His work centers on developing intelligent mobility solutions for visually impaired individuals, integrating stereo vision, route optimization, and energy-efficient navigation. Guo’s most cited paper, "Research on GDR Obstacle Detection Method Based on Stereo Vision" (2024, 4 citations), proposes a novel obstacle detection framework using binocular camera calibration and 3D ranging, advancing real-time hazard avoidance for guide dog robots. In his second notable work, "Collaborative route map and navigation of the guide dog robot based on optimum energy consumption" (2024, 2 citations), he introduces an energy-aware path-planning algorithm that balances navigation efficiency with battery conservation, a critical factor for practical deployment. Though early in his career, Guo’s contributions address key challenges in human-robot interaction and assistive robotics, combining theoretical analysis with MATLAB-based calibration techniques. His research holds promise for enhancing the autonomy and reliability of robotic guides, with potential applications in smart mobility aids. As his citation impact grows, Guo is establishing himself as a rising voice in accessible robotics and intelligent navigation systems.