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haleqiu/README.md

Yuheng Qiu is a Ph.D. candidate at Carnegie Mellon University advised by Sebastian Scherer, as a part of the AirLab. I have an innate passion for advancing spatial AI to enhance robot autonomy. You may check my website haleqiu.github.io

One specific area I focus on is creating generalized learning-based SLAM systems. Currently, engineers need to manually tune hyperparameters when applying these systems to new platforms, datasets, or sensors. I believe data-driven methods and uncertainty modeling are key to solving this problem. I hope that one day, SLAM will be fully automated—so much so that SLAM engineers like me will become unnecessary. (And I’ll happily “fire” myself when that day comes! 😂)

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  1. MAC-VO/MAC-VO MAC-VO/MAC-VO Public template

    [ICRA 2025 Best Paper] MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

    Python 803 47

  2. Air-IO/Air-IO Air-IO/Air-IO Public

    [IEEE RA-L] Air-IO: a learning-based IO framework targeted for UAV

    Python 160 18

  3. AirIMU AirIMU Public

    Python 120 21

  4. pypose/pypose pypose/pypose Public

    A library for differentiable robotics on manifolds.

    Python 1.5k 114

  5. AirDOS AirDOS Public

    [ICRA 2022] AirDOS: Dynamic SLAM benefits from Articulated Objects

    C++ 96 6

  6. sair-lab/LGL sair-lab/LGL Public

    Lifelong Graph Learning (CVPR 2022 Oral)

    Python 79 10