Jin Zheng

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About

Jin Zheng is a leading researcher in indoor robotics localization and 3D computer vision, with a focus on overcoming the challenges of non-line-of-sight (NLOS) environments. Their most impactful work, a 2024 study on UWB/IMU/Odometer fusion for robot localization in mixed LOS/NLOS conditions (37 citations), introduces a two-stage NLOS detection method that dramatically improves positioning accuracy where traditional systems fail. Zheng further advanced this field with a simultaneous calibration and localization framework for UWB systems, addressing the critical problem of anchor position uncertainty without requiring anchor-to-anchor communication. In computer vision, Zheng’s 2025 work on RGB-based category-level object pose estimation pioneers a depth recovery and adaptive refinement approach, eliminating the dependency on depth sensors while maintaining high pose estimation accuracy for unseen objects. This innovation promises to make object pose estimation more practical for real-world robotic applications. Zheng’s research consistently bridges the gap between theoretical algorithms and deployable systems, making significant contributions to autonomous navigation and robotic perception in challenging environments.