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About

Leyuan Sun is a pioneering researcher in robotics and embodied intelligence, specializing in multimodal sensor fusion, simultaneous localization and mapping (SLAM), and human-robot teleoperation. Sun’s work centers on making autonomous systems more robust, transparent, and context-aware. A standout contribution is the development of TransFusionOdom, a transformer-based LiDAR-inertial fusion odometry estimator that has garnered 19 citations for its innovative approach to learning-based sensor integration. Sun also advanced humanoid teleoperation by introducing decoupled viewpoint control and SLAM-enhanced visual feedback, directly addressing latency and transparency issues in immersive systems—work that has accumulated 15 citations. More recently, Sun’s research has expanded into cybernetic avatar systems for human telepresence (18 citations) and the use of large language models to infer room-object relationships for object-goal navigation. With a portfolio that also includes robust SLAM frameworks for dynamic environments and uncertainty-weighted multi-task learning for LiDAR odometry, Sun consistently pushes the boundaries of safe, intelligent, and perceptive robotic systems. Their work is essential reading for anyone interested in the next generation of autonomous navigation and human-robot interaction.