Peiqi Yu

peiqiy@andrew.cmu.edu

peiqiyu.jpg

I am a second year Ph.D. student in the Intelligent Control Lab at the Department of ECE of Carnegie Mellon University, advised by Prof.Changliu Liu.

My research focuses on long-horizon robotic manipulation using neuro-symbolic skill representations that bridge symbolic planning and continuous control. My work combines skill-based abstractions, TAMP, and learning-based methods to enable robust multi-stage execution and failure recovery in real-world environments.

I received my Bachelor’s degree in Automation at Tsinghua University, advised by Prof.Jiwen Lu.

I am currently seeking summer internship opportunities in robotics, machine learning, and automation.

news

Jun 25, 2025 Excited to present at the RSS Workshop on Neuro-Symbolic Packing (NeSyPack)! :sparkles:
May 22, 2025 Won First Prize ($60k) in the ICRA Competition on Bimanual Packing 🏆
Aug 12, 2024 Thrilled to join the CMU ECE PhD program! :smile:

selected publications

2026

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    Contingency Planning for Safety-Critical Autonomous Vehicles: A Review and Perspectives
    2026
    Lei Zheng, Luyao Zhang, Peiqi Yu, Yifan Sun, Sergio Grammatico, Jun Ma, and Changliu Liu
    arXiv preprint arXiv:2601.14880,
    PDF

2025

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    NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing
    2025
    Bowei Li*, Peiqi Yu*, Zhenran Tang, Han Zhou, Yifan Sun, Ruixuan Liu, and Changliu Liu
    arXiv preprint arXiv:2506.06567,
    PDF

2024

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    Robustifying Long-term Human-Robot Collaboration through a Multimodal and Hierarchical Framework
    2024
    Peiqi Yu*, Abulikemu Abuduweili*, Ruixuan Liu, and Changliu Liu
    arXiv preprint arXiv:2411.15711,
    PDF

2022

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    Recovering Realistic Details for Magnification-Arbitrary Image Super-Resolution
    2022
    Cheng Ma, Peiqi Yu, Jiwen Lu, and Jie Zhou
    IEEE Transactions on Image Processing,
    PDF