Ruijie Zheng

University of Maryland, College Park

Papers

2

Total Citations

23

H-Index

2

About

Ruijie Zheng is a leading researcher at the forefront of embodied AI and multimodal foundation models, whose work is defining the next generation of intelligent agents. His primary research areas span multimodal AI agents, humanoid robotics, and vision-language models, with a focus on bridging the gap between digital intelligence and physical world interaction. Zheng’s most notable contribution is **Magma**, a pioneering foundation model that extends traditional vision-language models to serve multimodal AI agentic tasks in both digital and physical environments. This work, which has already garnered 19 citations since its 2025 release, represents a significant leap in equipping AI with both verbal intelligence and actionable agency. He is also a key contributor to **GR00T N1**, an open foundation model for generalist humanoid robots, which aims to provide the intelligent "mind" for versatile robotic bodies. By training on massive and diverse data sources, Zheng’s models are laying the groundwork for robots that can operate autonomously in human-centric spaces. His research is not only technically ambitious but also highly practical, pushing the boundaries of what AI agents can achieve in the real world.

Research Focus

Key Achievements

2
H-Index
2
Papers
23
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Magma: A Foundation Model for Multimodal AI Agents
19 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 49
🏛 Institutions: University of Maryland, College Park

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago