Yuheng Qiu

yuheng2024.jpg

I am a Ph.D. candidate at Carnegie Mellon University, advised by Sebastian Scherer and affiliated with the AirLab. I received my B.Eng. degree in Computer Science and Engineering from the Chinese University of Hong Kong, Shenzhen in 2019.

I have an innate passion for advancing spatial AI to enhance robot autonomy. 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! 😂)

LinkedIn / X / Github / Google Scholar            Email: yuhengq@andrew.cmu.edu

News

May 22, 2025 🥇 MAC-VO won the ICRA 2025 Best Conference Paper Award and Best Paper Award on Robot Perception.
May 19, 2025 🖥️ MAC-VO is selected as ICRA 2025 Best Paper Finalist. Join our talk with live demo [1] [2] on May 20 Atlanta!
Jul 06, 2024 📝 Prior to today, many papers were accepted, while more were rejected.

Publications

2025

  1. RayFronts.gif
    RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration
    Omar Alama, Avigyan Bhattacharya, Haoyang He, Seungchan Kim, Yuheng Qiu, Wenshan Wang, and 3 more authors
    IROS 2025
  2. TartanGround.jpg
    TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation
    Manthan Patel, Fan Yang, Yuheng Qiu, Cesar Cadena, Sebastian Scherer, Marco Hutter, and 1 more author
    IROS 2025
  3. IMPC.jpg
    Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control
    Haonan He, Yuheng Qiu, and Junyi Geng
    L4DC 2025
  4. TartanIMU.jpg
    Tartan IMU: A Light Foundation Model for Inertial Positioning in Robotics
    Shibo Zhao, Sifan Zhou, Raphael Blanchard, Yuheng Qiu, Wenshan Wang, and Sebastian Scherer
    CVPR 2025
  5. macvo-s.jpg
    MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry
    Yuheng Qiu, Yutian Chen, Zihao Zhang, Wenshan Wang, and Sebastian Scherer
    ICRA 2025 (Best Paper)
  6. AirIO.gif
    AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability
    Yuheng Qiu, Can Xu, Yutian Chen, Shibo Zhao, Junyi Geng, and Sebastian Scherer
    RA-L 2025

2024

  1. uncertainty-s.gif
    SuperLoc: The Key to Robust LiDAR-Inertial Localization Lies in Predicting Alignment Risks
    Shibo Zhao, Honghao Zhu, Yuanjun Gao, Beomsoo Kim, Yuheng Qiu, Aaron M Johnson, and 1 more author
    ICRA 2024
  2. airimu-s.jpg
    AirIMU: Learning Uncertainty Propagation for Inertial Odometry
    Yuheng Qiu, Chen Wang, Can Xu, Yutian Chen, Xunfei Zhou, Youjie Xia, and 1 more author
    arXiv 2024
  3. subt.jpg
    SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments
    Shibo Zhao, Yuanjun Gao, Tianhao Wu, Damanpreet Singh, Rushan Jiang, Haoxiang Sun, and 15 more authors
    CVPR 2024

2023

  1. pypose-s.jpg
    PyPose: A library for robot learning with physics-based optimization
    Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, and 30 more authors
    CVPR 2023 (1k GitHub Star)
  2. pyposev06.jpg
    PyPose v0. 6: The Imperative Programming Interface for Robotics
    Zitong Zhan, Xiangfu Li, Qihang Li, Haonan He, Abhinav Pandey, Haitao Xiao, and 30 more authors
    IROS Workshop 2023

2022

  1. AirDOS-s.gif
    AirDOS: Dynamic SLAM benefits from articulated objects
    Yuheng Qiu, Chen Wang, Wenshan Wang, Mina Henein, and Sebastian Scherer
    ICRA 2022
  2. lgl-s.jpg
    Lifelong graph learning
    Chen Wang, Yuheng Qiu, Dasong Gao, and Sebastian Scherer
    CVPR 2022 (Oral)
  3. AirObject-s.jpg
    AirObject: A temporally evolving graph embedding for object identification
    Nikhil Varma Keetha, Chen Wang, Yuheng Qiu, Kuan Xu, and Sebastian Scherer
    CVPR 2022

2021

  1. interestingness-s.jpg
    Unsupervised online learning for robotic interestingness with visual memory
    Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, and Sebastian Scherer
    T-RO 2021

2020

  1. visual_memorability-s.jpg
    Visual memorability for robotic interestingness via unsupervised online learning
    Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, and Sebastian Scherer
    ECCV 2020 (Oral)
  2. tartanair-s.jpg
    Tartanair: A dataset to push the limits of visual slam
    Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, and 3 more authors
    IROS 2020