Ansheng Wang

Papers

Total Citations

H-Index

About

Ansheng Wang is a researcher advancing human–robot interaction (HRI), with a focus on developing intelligent companion robots that can naturally and safely follow humans. His work addresses a critical challenge in robotics: enabling machines to predict complex, unpredictable human movements in real time. Wang’s most cited paper (2021, 8 citations) introduces a machine learning-based system that predicts a walking human’s future position, allowing a robot to follow smoothly from behind. Building on this, his 2024 paper (2 citations) pioneers a “front-following” system, where the robot moves ahead of the human leader while staying within their line of sight—a novel approach that enhances user trust and visibility. By shifting from rear- to front-following paradigms, Wang’s contributions directly improve the practicality of assistive robots in crowded or dynamic environments. His work, though early in citation impact, lays a foundation for more intuitive, predictive HRI. Wang’s research is particularly relevant for students and engineers designing robots for elderly care, logistics, or personal assistance, where seamless human-aware navigation is essential.