Yuheng Qiu

yuhengq@andrew.cmu.edu
RI-SQH CMU
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.
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! 😂)
I received a B.Eng. degree in Computer Science and Engineering from The Chinese University of Hong Kong, Shenzhen (CUHK-SZ) in 2019.
news
May 22, 2025 | 🥇 MAC-VO won the ICRA 2025 Best Conference Paper Award and Best Paper Award on Robot Perception . |
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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. |
Selected Publications (show all publications)
- MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual OdometryICRA Best Paper , 2025
- PyPose: A library for robot learning with physics-based optimizationCVPR , 2023
- Visual memorability for robotic interestingness via unsupervised online learningECCV , 2020
- Unsupervised online learning for robotic interestingness with visual memoryIEEE Transactions on Robotics, 2021
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