Jiayu Shi

Peking University

Papers

1

Total Citations

11

H-Index

1

About

Dr. Jiayu Shi is at the forefront of bridging multimodal AI and robotic manipulation, with a focus on enabling machines to understand and execute complex, long-horizon tasks. Their seminal work, "RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete" (2025), addresses a critical gap in applying Multimodal Large Language Models (MLLMs) to robotics. While MLLMs excel in static multimodal contexts, they falter in dynamic, sequential manipulation scenarios. Dr. Shi’s RoboBrain model introduces a hierarchical framework that translates abstract linguistic and visual commands into concrete, executable robotic actions, effectively overcoming the limitations of existing MLLMs in real-world settings. Though early in its citation trajectory (11 citations), this work has already sparked interest for its potential to unify perception, reasoning, and control. Dr. Shi’s contributions are pivotal for advancing embodied AI, offering a pathway toward more adaptable and intelligent robotic systems. Their research continues to shape how robots interpret and interact with the physical world, making them a rising voice in the intersection of AI and robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete
11 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Peking University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago