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About

Jiannan Xiang is a leading researcher at the intersection of robotics, artificial intelligence, and embodied intelligence, with a core focus on developing foundation models for generalist humanoid robots. His most notable contribution is the groundbreaking work on **GR00T N1**, an open foundation model designed to bridge the gap between versatile robotic hardware and intelligent autonomy. This model, published in 2025, represents a significant leap by training on massive, diverse data sources to enable robots to perform a wide range of tasks in human-centric environments. While still early in its citation cycle (with 4 citations), the work’s conceptual ambition and open-source nature position it as a pivotal achievement in the field. Xiang’s research addresses the critical challenge of creating a unified intelligence that can generalize across different robotic embodiments and real-world scenarios, moving beyond narrow, task-specific systems. His contributions are shaping the next generation of humanoid robots, aiming to make them truly adaptable and capable partners in daily life and industry.