Yingxuan You

Papers

Total Citations

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About

Yingxuan You is a leading researcher at the intersection of robotics, computer vision, and artificial intelligence, with a core focus on enabling intelligent systems to perceive, navigate, and interact within complex, dynamic environments. Dr. You’s most impactful work, "MISD‐SLAM: Multimodal Semantic SLAM for Dynamic Environments" (25 citations), addresses a critical bottleneck in mobile robotics by fusing multimodal sensor data with semantic understanding, allowing robots to robustly map and localize themselves even amidst moving obstacles. This contribution is foundational for deploying robots in real-world, human-populated spaces. Expanding into human-robot interaction, Dr. You’s "Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Video" (4 citations) tackles the delicate balance between reconstruction accuracy and motion smoothness, a key challenge for collaborative robots. Further demonstrating applied innovation, "SPSD: Semantics and Deep Reinforcement Learning Based Motion Planning for Supermarket Robot" (3 citations) pioneers an adaptive planning framework that leverages deep reinforcement learning and semantic cues to navigate the cluttered, unpredictable aisles of retail environments. Through these works, Dr. You is systematically advancing the capabilities of autonomous systems, moving them from static labs into the dynamic, semantic-rich world.