Hsiao-Chieh Yen

Papers

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About

Hsiao-Chieh Yen is a researcher whose work lies at the intersection of robotics, human motion prediction, and autonomous navigation. His most cited contribution, the 2008 paper "Goal-directed pedestrian model for long-term motion prediction with application to robot motion planning," introduces a probabilistic, goal-directed model that leverages navigation functions and statistical human motion data. This model stands out for its computational efficiency and robustness, particularly in environments where traditional approaches struggle with optimal direction prediction. With 13 citations, this work has informed subsequent research in socially-aware robot planning, enabling robots to anticipate pedestrian intentions over longer horizons. Yen’s approach addresses a critical challenge in human-robot interaction: balancing predictive accuracy with real-time performance. By modeling pedestrian goals probabilistically, his work helps robots navigate crowded spaces more safely and naturally. This contribution is especially relevant for applications in service robotics, autonomous vehicles, and shared human-robot environments. Yen’s research continues to influence the development of motion prediction algorithms that prioritize both computational feasibility and behavioral realism.