Papers
2
Total Citations
52
H-Index
2
About
Yupeng Jia is a leading researcher in autonomous robotics and multi-sensor fusion, with a primary focus on state estimation and simultaneous localization and mapping (SLAM) for mobile robots. His most notable contribution is the development of **Lvio-Fusion**, a self-adaptive, tightly coupled multi-sensor fusion framework that integrates stereo cameras, IMUs, and other sensors using an actor-critic reinforcement learning method. This work addresses a critical challenge in robotics: the variable performance of different sensors across diverse environments. By enabling the system to dynamically adjust fusion weights, Lvio-Fusion significantly improves robustness and accuracy in real-world deployments. The flagship paper on this framework has accumulated over 48 citations, reflecting its strong impact on the field. Jia’s research bridges the gap between classical SLAM and modern learning-based adaptation, offering a practical solution for autonomous navigation in complex, unstructured settings. His work is essential reading for researchers and students working on sensor fusion, mobile robotics, and adaptive perception systems.
Research Focus
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