Xingxing Zuo

Prior to joining MBZUAI, Professor Zuo was a Postdoctoral Researcher in the Department of Computing and Mathematical Sciences at Caltech (USA). In 2024, he worked at Google AR (USA) as a Visiting Faculty Researcher. From 2021 to 2023, he was a postdoctoral researcher at the Technical University of Munich (Germany), and from 2019 to 2021, he was an academic guest at ETH Zurich (Switzerland). Professor Zuo currently serves as an Associate Editor for the IEEE Robotics and Automation Letters (RA-L), as well as for the flagship robotics conferences ICRA (2023–2025) and IROS (2022–2025). His research interests span robotics, 3D computer vision, state estimation, and embodied AI. He has published over 40 peer-reviewed publications, with most appearing in top-tier robotics and AI venues, including IEEE T-RO, JFR, IEEE T-ASE, IJCV, ICRA, IROS, and CVPR.

• Postdoctoral Researcher, Department of Computing and Mathematical Sciences, California Institute of Technology (Caltech)
• Visiting Faculty Researcher, Google LLC
• Postdoctoral Researcher, School of Computation, Information and Technology, Technical University of Munich
• Academic Guest, Department of Computer Science, ETH Zurich
• Ph.D. in Control Science and Engineering, Zhejiang University

Coming soon.

Professor Zuo’s research interests span robotics, 3D computer vision, state estimation, and embodied AI. His long-term research vision is to enable natural interaction and seamless collaboration between robots and humans in open environments by accurately understanding robot states, surrounding 3D scenes, and action execution. Xingxing Zuo, Pouya Samangouei, Yunwen Zhou, Yan Di, and Mingyang Li, “FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding”, International Journal of Computer Vision (IJCV), 2024. (SCI, Top in Artificial Intelligence) Jiajun Lv†, Xingxing Zuo†, Kewei Hu, Jinhong Xu, Guoquan Huang, and Yong Liu, “Observability-aware Intrinsic and Extrinsic Calibration of LiDAR-IMU System”, IEEE Transactions on Robotics (T-RO), 2022. †Co-first author. Xingxing Zuo, Mingming Zhang, Mengmeng Wang, Yiming Chen, Guoquan Huang, Yong Liu, and Mingyang Li, “Visual-based Kinematics and Pose Estimation for Skid-Steering Robots”, IEEE Transactions on Automation Science and Engineering (T-ASE), 2022. Mingming Zhang†, Xingxing Zuo†, Yiming Chen, Yong Liu, and Mingyang Li, “Pose Estimation for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization”, IEEE Transactions on Robotics (T-RO), 2021. †Co-first author. Xingxing Zuo, Wenlong Ye, Yulin Yang, Renjie Zheng, Teresa Vidal Calleja, Guoquan Huang, and Yong Liu, “Multimodal localization: Stereo over LiDAR map”, Journal of Field Robotics (J-FR), 2020. Xingxing Zuo, Nikhil Ranganathan, Connor Lee, Georgia Gkioxari, and Soon-Jo Chung, “MonoTher-Depth: Enhancing Thermal Depth Estimation via Confidence-Aware Distillation”, IEEE Robotics and Automation Letters (RA-L), 2025. Xingxing Zuo, Nathaniel Merrill, Wei Li, Yong Liu, Marc Pollefeys, and Guoquan Huang, “CodeVIO: Visual-Inertial Odometry with Learned Optimizable Dense Depth”, IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, 2021. Xingxing Zuo, Yulin Yang, Patrick Geneva, Jiajun Lv, Yong Liu, Guoquan Huang, and Marc Pollefeys. “LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, 2020. Xingxing Zuo, Patrick Geneva, Woosik Lee, Yong Liu, and Guoquan Huang, “LIC-Fusion: LiDAR-Inertial-Camera Odometry”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019.