Haodong He

National University of Singapore, Wuhan University of Science and Technology, Zhaoqing University

Papers

Total Citations

H-Index

About

Haodong He is a robotics researcher whose work sits at the intersection of social robotics and autonomous navigation. He is best known for his foundational contributions to human-robot interaction, beginning with the design and development of Nancy, a social robot platform created for engaging, safe, and user-friendly interaction. This early work, which has garnered 19 citations, established his focus on creating robots that can coexist with humans in shared spaces. More recently, He has advanced the field of crowd navigation by applying deep reinforcement learning to solve complex, real-world challenges. His 2024 paper on path-following navigation in crowds (7 citations) and his 2023 work on spatio-temporal transformer-based reinforcement learning (4 citations) demonstrate his innovative approach to enabling robots to move safely and socially in dynamic human environments. He has also explored applied robotics with his 2025 research on an AI-driven pharmacy management robot, addressing practical healthcare challenges. Through his integration of mechanical design, artificial intelligence, and social awareness, He continues to push the boundaries of how robots perceive, navigate, and interact within human-centered spaces.