Yi Du is currently a PhD student at the Department of Computer Science and Engineering (CSE), University at Buffalo (UB). His research interests cover LiDAR-RGB fusion, 3D perception and Foundation Model Enhanced Robot Learning.
Experience
- Ph.D. in Computer Science
- University at Buffalo (UB), USA
- Jan. 2023 - Present
- Master of Science in Engineering
- University of Pennsylvania, USA
- Aug. 2020 - May 2022
- Bachelor of Engineering
- Sichuan University, Chengdu, China
- Sep. 2016 - June 2020
Awards
Emails
- Work Email: yid@sairlab.org
- School Email: yidu@buffalo.edu
Publications
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Fast Task Planning with Neuro-Symbolic Relaxation.IEEE Robotics and Automation Letters (RA-L), vol. 11, no. 3, pp. 3684–3691, 2026.
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GSMem: 3D Gaussian Splatting as Persistent Spatial Memory for Zero-Shot Embodied Exploration and Reasoning.arXiv preprint arXiv:2603.19137, 2026.
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Vision to Geometry: 3D Spatial Memory for Sequential Embodied MLLM Reasoning and Exploration.arXiv preprint arXiv:2512.02458, 2026. -
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy.International Journal of Robotics Research (IJRR), 2025. -
SuperPC: A Single Diffusion Model for Point Cloud Completion, Upsampling, Denoising, and Colorization.IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16953–16964, 2025.
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AirRoom: Objects Matter in Room Reidentification.IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1385–1394, 2025. -
Vision-Language Memory for Spatial Reasoning.arXiv preprint arXiv:2511.20644, 2025. -
PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving.IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 11670–11677, 2024. -
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments.IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 22647–22657, 2024. -
PyPose v0.6: The Imperative Programming Interface for Robotics.IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Workshop, 2023. -
PyPose: A Library for Robot Learning with Physics-based Optimization.IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 22024–22034, 2023.