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About

Radu Soricut is a leading researcher at the intersection of artificial intelligence and robotics, whose work is fundamentally reshaping how machines interact with the physical world. His primary focus lies in developing large, multimodal models that can bridge the gap between digital knowledge and real-world robotic control. Soricut’s most impactful contribution is his pioneering work on vision-language-action models, most notably detailed in his highly cited paper "RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control" (2023, 267 citations). This seminal research demonstrated how models trained on vast Internet-scale data could be directly integrated into end-to-end robotic systems, enabling unprecedented levels of generalization and emergent semantic reasoning. Building on this foundation, his latest work, "Gemini Robotics: Bringing AI into the Physical World" (2025), introduces a new family of AI models purposefully designed for robots, tackling the critical challenge of translating digital capabilities into physical action. Through these contributions, Soricut is a driving force behind the next generation of intelligent, adaptable robots capable of understanding and navigating our complex world.