Dr. Momford Jiang is a distinguished leader and researcher in the fields of Artificial Intelligence and Robotics. He currently holds the position of Senior Director of AI Robotics Research at NVIDIA. His work is central to advancing embodied AI, focusing on how intelligent agents can learn and operate in complex, dynamic 3D environments. Dr. Jiang plays a crucial role in the development and strategy of NVIDIA's robotics simulation platforms, such as NVIDIA Isaac Sim™, and leveraging NVIDIA Omniverse™ for creating realistic virtual worlds for training and testing robots. His research interests span robot learning, perception, manipulation, sim-to-real transfer, and building foundational models for robotics. He is dedicated to bridging the gap between simulation and the real world to accelerate the deployment of intelligent robots across various industries.
Momford Jiang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheads the development and strategic direction of NVIDIA Isaac Sim, a cutting-edge robotics simulation application and synthetic data generation tool. This platform enables researchers and developers to design, train, test, and deploy AI-based robots in physically accurate virtual environments, significantly accelerating innovation in robotics.
Leads significant research efforts at NVIDIA in embodied AI, focusing on creating AI agents that can perceive, reason, and act in simulated and real-world environments. This includes contributions to foundational models tailored for robotic applications, enhancing robot learning and generalization capabilities.
Instrumental in leveraging the NVIDIA Omniverse platform for robotics, enabling the creation of large-scale, physically accurate digital twins and virtual worlds for robotics development, collaboration, and testing.
Frequently presents at major industry and academic conferences (such as GTC, ICRA, IROS) on topics related to AI, robotics, and simulation, sharing NVIDIA's vision and advancements in these fields and influencing the direction of robotics research.
Hunan University - Year 1995
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