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About

Baijun Xie is a pioneering researcher at the intersection of human-robot interaction (HRI), autonomous systems, and microrobotics. His work centers on making robots more emotionally intelligent and physically capable, with a focus on empathetic dialogue, real-time teleoperation, and robust localization. Xie’s most-cited paper, “Empathetic Robot With Transformer-Based Dialogue Agent” (2021, 6 citations), introduces a novel method for integrating affection models into robotic conversational agents, enabling natural and empathetic HRI—a critical step toward socially aware robots. He also advanced microrobotics with “Real-time teleoperation of magnetic force-driven microrobots with haptic feedback” (2024, 5 citations), proposing a system for telemedical micromanipulation that combines motion modeling with stable force feedback. In autonomous ground vehicles, his “Trainable Quaternion Extended Kalman Filter with Multi-Head Attention” (2022, 5 citations) improves dead reckoning accuracy by merging Bayesian estimation with deep learning. Xie’s creative side shines in “Dance with a Robot” (2020, 4 citations), which uses Seq2Seq architectures to map music to dance motions, and “Can You Guess My Moves?” (2023, 4 citations), exploring social play for therapeutic HRI. With over 24 citations across these works, Xie is shaping a future where robots are both empathetic and dexterous.