Scholar
Haoqi Yuan
Google Scholar ID: QD_ynSgAAAAJ
Peking University
Machine Learning
Reinforcement Learning
Embodied AI
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Citations & Impact
All-time
Citations
331
H-index
7
i10-index
7
Publications
17
Co-authors
9
list available
Contact
Email
yhq@pku.edu.cn
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Publications
23 items
Scaffolding Foundation Models into Physical-World Agents Pushes the Frontier of Long-Horizon Navigation
2026
Cited
0
Ego2Robot: Scalable Robot Data Synthesis from Egocentric Human Data
2026
Cited
0
Human-Centric Transferable Tactile Pre-Training for Dexterous Robotic Manipulation
2026
Cited
0
Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models
2026
Cited
0
Qwen-RobotNav Technical Report: A Scalable Navigation Model Designed for an Agentic Navigation System
2026
Cited
0
Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
2026
Cited
0
RealDexUMI: A Wearable Universal Manipulation Interface for Dexterous Robot Learning
2026
Cited
0
Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
2026
Cited
0
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Resume
Academic Achievements
- Published Papers:
- DemoGrasp: Universal Dexterous Grasping from a Single Demonstration
- Being-0: A Humanoid Robotic Agent with Vision-Language Models and Modular Skills
- Cross-Embodiment Dexterous Grasping with Reinforcement Learning
- Efficient Residual Learning with Mixture-of-Experts for Universal Dexterous Grasping
- Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation
Research Experience
- Position: Fifth-year Ph.D. student at Peking University
- Research Projects: Dexterous grasping, humanoid robotic control, etc.
Education
- Degree: Ph.D. student
- University: Peking University
- Advisor: Prof. Zongqing Lu
- Time: 2021 to present
- Bachelor's degree: Turing Class, Peking University
Background
- Research Interests: reinforcement learning (RL) and embodied AI
- Current Focus: Scalable learning methods for dexterous hands and humanoid robots manipulation; Efficient RL for open-world, embodied agents
Miscellany
Personal interests and other information not provided
Co-authors
8 total
Zongqing Lu
Peking University | BeingBeyond
Hao Dong
Tenured Associate Professor at Peking University
Shaoteng Liu
Adobe Research, CUHK
Börje F. Karlsson
Beijing Academy of Artificial Intelligence (BAAI)
Zihan Ding
Princeton University
Yihao Zhao
Peking University
Baoquan Chen
Peking University, IEEE Fellow
Jiaya Jia
Chair Professor, HKUST; Adjunct Prof., CUHK