CV
Education, publications, honors, and technical experience.
Contact Information
| Name | Ziheng Qiu |
| Professional Title | Ph.D. Student in Embodied AI |
| theqiuzh@gmail.com |
Professional Summary
Ph.D. student at Fudan University working on embodied AI, robot manipulation, and visuomotor policy learning.
Education
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2025 - present Shanghai, China
Ph.D.
Fudan University
Computer Science and Technology
- Research: embodied AI and robot manipulation
- Advisor: Prof. Wenchao Ding
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2021 - 2025 Chengdu, China
B.Eng.
University of Electronic Science and Technology of China
Software Engineering
- Advisor: Prof. Yong Liao
Publications
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2026 AutoSpeed: Annotation-Free Stage-Adaptive Motion Speed Learning for Robot Manipulation
European Conference on Computer Vision (ECCV)
Annotation-free stage-adaptive motion speed learning for visuomotor policies, evaluated across simulation and real-world bimanual manipulation tasks.
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2026 Resolving State Ambiguity in Robot Manipulation via Adaptive Working Memory Recoding
IEEE Robotics and Automation Letters (RA-L)
A visuomotor policy with adaptive working memory for long-history temporal disambiguation in robot manipulation.
Awards
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2026 Graduate Academic Scholarship
Fudan University
Skills
Programming and deep learning: Python, PyTorch, model training, debugging, evaluation, experimental analysis
Generative and multimodal models: Diffusion models, large language models, vision-language models
Robot learning: Imitation learning, reinforcement learning, action representations, world models, long-horizon modeling
Simulation and deployment: ROS, LIBERO, Meta-World, RoboTwin, Franka, AgileX
Research engineering: Multi-GPU distributed training, robot data collection and preprocessing, Linux, Bash, Git, Docker