Max Robotics — Global Service Robot Directory + US Certification

About

Joel Jang is a leading researcher at the forefront of embodied AI and multimodal foundation models. His work focuses on bridging the gap between digital intelligence and physical-world interaction, creating systems that can perceive, reason, and act. Jang’s most significant contribution is the development of **Magma**, a pioneering foundation model for multimodal AI agents. With 19 citations since its 2025 release, Magma extends traditional vision-language models by equipping them with the "verbal intelligence" to understand complex scenes and the "action intelligence" to execute tasks in both digital and physical environments. This work is foundational for next-generation autonomous agents. Further demonstrating his impact on robotics, Jang is a key contributor to **GR00T N1**, an open foundation model for generalist humanoid robots. This project aims to provide the intelligent "mind" for humanoid hardware, trained on massive, diverse data to enable versatile autonomy in the human world. By creating the core architectures that allow AI to move from screens into reality, Joel Jang is helping to define the future of general-purpose robotics and agentic AI.