CV
Education, research experience, publications, service, skills, and honors. An asterisk (*) denotes equal contribution.
Contact Information
| Name | Peiqi Yu |
| Professional Title | Third-year Ph.D. Candidate in Electrical and Computer Engineering |
| peiqiy@andrew.cmu.edu | |
| Location | Pittsburgh, PA |
| Website | https://patricia1019.github.io/ |
Experience
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2024 - 2024 Beijing, China
Research Intern
Embodied Agent Group, ModelBest Inc.
Advised by Zhiyuan Liu; latent action prediction in vision-language models.
- Investigated state-of-the-art multimodal and video-based embodied learning methods, including Flamingo, Genie, UniPi, Video PreTraining (VPT), and AVDC, and explored latent-action learning by predicting future visual states and recovering control actions from frame transitions via inverse dynamics.
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2023 - 2023 Pittsburgh, PA
Research Intern
Intelligent Control Lab, Carnegie Mellon University
Advised by Changliu Liu; human-robot collaboration and time-series prediction.
- Proposed and developed a multimodal hierarchical human-robot collaboration framework integrating vision, speech, hierarchical plan prediction, and online user adaptation; deployed it on a Kinova Gen3 for long-horizon toy car assembly, achieving 91.8% task success, 15.9% faster completion, and 84% user satisfaction.
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2021 - 2022 Beijing, China
Undergraduate Research Intern
Computer Vision Lab, Tsinghua University
Advised by Jiwen Lu; 2D image super-resolution.
- Co-developed Implicit Pixel Flow (IPF), a model-agnostic coordinate-warping framework for photorealistic arbitrary-scale super-resolution.
Research Interests
- Self-improving embodied agents for long-horizon robotic manipulation, with a focus on agentic robotics, neuro-symbolic reasoning, and continual learning.
Education
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2024 - 2029 Pittsburgh, PA
Ph.D. Candidate
Carnegie Mellon University
Electrical and Computer Engineering
- Expected graduation in May 2029.
- Courses: Introduction to Robot Learning (16-831), Advanced Control for Robotics (16-714), Kinematics for Robot Manipulation (16-741), Estimation, Detection, and Learning (18-752), Safe Robotics (16-883).
- Advised by Changliu Liu.
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2024 - 2026 Pittsburgh, PA
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2019 - 2023 Beijing, China
Publications
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2026 ManiSkillFormer: Demonstration-Free Compositional Manipulation via Geometric Contracts and Agentic Skill Graph
Submitted to ICRA 2027
Peiqi Yu, Mosam Dabhi, Shangtao Li, Bowei Li, Laszlo Jeni, Changliu Liu
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2026 Emergent Neural Automaton Policies: Learning Symbolic Structure from Visuomotor Trajectories
Robotics: Science and Systems (RSS)
Yiyuan Pan*, Xusheng Luo*, Hanjiang Hu, Peiqi Yu, Changliu Liu
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2026 Autonomous Integration and Improvement of Robotic Assembly using Skill Graph Representations
ICRA Workshop on Multi-Agent Robotic Systems: Real-World Collaboration and Interaction
Peiqi Yu*, Philip Huang*, Chaitanya Chawla*, Guanya Shi, Jiaoyang Li, Changliu Liu
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2026 Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models
Preprint
Lei Zheng, Peiqi Yu, Zengqi Peng, Changliu Liu, Armin Lederer
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2025 NeSyPack: A Neuro-Symbolic Framework for Bimanual Logistics Packing
RSS Workshop on Benchmarking Robot Manipulation
Bowei Li*, Peiqi Yu*, Zhenran Tang, Han Zhou, Yifan Sun, Ruixuan Liu, Changliu Liu
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2026 Robustifying Long-term Human-Robot Collaboration through a Multimodal and Hierarchical Framework
IFAC Cyber-Physical & Human Systems
Peiqi Yu*, Abulikemu Abuduweili*, Ruixuan Liu, Changliu Liu
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2022 Recovering Realistic Details for Magnification-Arbitrary Image Super-Resolution
IEEE Transactions on Image Processing
Cheng Ma, Peiqi Yu, Jiwen Lu, Jie Zhou
Service
Reviewer, IEEE International Conference on Robotics and Automation (ICRA): 2025, 2026
Reviewer, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS): 2025, 2026
Skills
Programming: Python, C/C++, SQL, MATLAB, LaTeX
Frameworks & Simulators: PyTorch, ROS/ROS2, Isaac Sim, MuJoCo, Gazebo
Robot Platforms: Unitree G1, Galaxea R1Lite, AgiBot G1, Kinova, Yaskawa
Honors and Awards
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2025 First Prize, ICRA WBCD Competition
IEEE International Conference on Robotics and Automation
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2022 Second Prize, Electronics Design Contest
Tsinghua University
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2021 Third Prize, Challenge Cup
Tsinghua University