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About

Shenhan Jia is a leading researcher in robotics and state estimation, with a primary focus on advancing autonomous navigation systems. His work centers on visual-inertial odometry (VIO), humanoid robotics, and multi-sensor fusion, particularly integrating ultra-wideband (UWB) ranging for robust localization. Jia’s major contributions include developing FEJ-VIRO (2022, 21 citations), a consistent First-Estimate Jacobian visual-inertial-ranging odometry that significantly reduces localization drift over long trajectories—a critical challenge in VIO. He further advanced the field with a distributed initialization method for position-unknown UWB networks (2023, 7 citations), enabling scalable multi-robot systems. His recent VIVO framework (2024) introduces visual-inertial-velocity odometry with online calibration for challenging conditions, demonstrating his commitment to real-world robustness. Jia also authored a comprehensive review of humanoid robots (2025, 26 citations), synthesizing progress and future directions in this transformative field. With over 56 citations across his most-cited works, Jia’s research has direct implications for autonomous drones, mobile robots, and humanoid platforms, making him a key figure in reliable, drift-free navigation.