Seonghyeon Ye
Papers
2
Total Citations
23
H-Index
2
About
Seonghyeon Ye is at the forefront of building the intelligent infrastructure for embodied AI, pioneering foundation models that bridge the digital and physical worlds. His research focuses on multimodal AI agents and generalist robotics, where he develops systems capable of understanding and acting within complex, real-world environments. Ye’s most notable contribution is **Magma**, a foundation model that extends traditional vision-language models with agentic capabilities, enabling it to perform tasks in both digital interfaces and physical spaces. This work, already garnering 19 citations since its 2025 release, represents a critical step toward AI that can not only see and talk but also act. He is also a key contributor to **GR00T N1**, an open foundation model for generalist humanoid robots, designed to be the intelligent "mind" for versatile robotic bodies. By training on massive, diverse datasets, Ye is tackling the core challenge of creating robust, general-purpose autonomy. His work is essential reading for anyone interested in the future of robotics, multimodal AI, and the quest to build machines that can seamlessly operate alongside humans in the real world.
Research Focus
Key Achievements
Top Papers
- 1Magma: A Foundation Model for Multimodal AI Agents19 citations · 2025
- 2GR00T N1: An Open Foundation Model for Generalist Humanoid Robots4 citations · 2025