Papers
1
Total Citations
3
H-Index
1
About
Zhenyu Gao is a robotics researcher whose work centers on human-robot interaction, autonomous navigation, and perception systems for mobile service robots. His most-cited paper, "Large Workspace Frontal Human Following for Mobile Robots Utilizing 2D LiDAR" (2025, 3 citations), addresses a critical gap in service robotics: enabling robots to lead humans from the front rather than follow from behind. This work expands the operational workspace for human-robot teams, improving natural interaction in applications like guided tours, warehouse logistics, and assistive robotics. By leveraging cost-effective 2D LiDAR sensors, Gao’s approach makes frontal following more practical and accessible for real-world deployment. His research contributes to safer, more intuitive robot behaviors, enhancing trust and efficiency in shared environments. Though early in his citation trajectory, Gao’s focus on underexplored interaction paradigms signals a promising direction for advancing mobile robot autonomy and human-centered design.
Research Focus
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Top Papers
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