Yizhen Yin

Sun Yat-sen University, Xi'an Jiaotong University, Northeastern University

Papers

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About

Yizhen Yin is a robotics researcher whose work centers on advancing Simultaneous Localization and Mapping (SLAM) and autonomous exploration through novel computational and algorithmic approaches. His most significant contribution is the development of CaRtGS (Computational Alignment for Real-Time Gaussian Splatting SLAM), a 2025 paper that has already garnered 12 citations. This method tackles the critical challenge of photorealistic scene reconstruction in real-time robotics by introducing computational alignment techniques that dramatically improve the efficiency and quality of 3D Gaussian Splatting for SLAM systems. Yin’s work bridges the gap between high-fidelity visual reconstruction and the computational constraints of real-time robotic operation. His research portfolio also includes visual localization of robotic end effectors through fusion of 3D Gaussian Splatting with heuristic optimization (2024, 3 citations), and an improved RRT autonomous exploration method based on hybrid clustering algorithms (2022, 2 citations). These contributions demonstrate a consistent focus on making advanced 3D reconstruction and path planning techniques practical for real-world robotic applications, positioning Yin as an emerging voice in the integration of neural rendering with classical robotics challenges.