General-purpose humanoid robots are designed to quickly adapt to human-centric urban and industrial workspaces, tackling tedious, repetitive, or physically demanding tasks. They’re increasingly being used in factories and healthcare facilities to assist humans and alleviate labor shortages through automation.
NVIDIA Robotics Research
Shaping the future of robotics with breakthrough research, advanced AI, and real-world validation.
Advanced Robotics Research, AI Innovation, and Simulation
NVIDIA Robotics Research is helping to transform industries by enabling the next generation of robots to perform complex tasks while safely working alongside humans. We take on the challenges of robot development through advanced research and engineering workflows tested on our AI and robotics platforms. The resulting models, policies, and datasets provide customizable references for the research and developer community to adapt to specific robotics needs.
NVIDIA Research Labs
NVIDIA Seattle Robotics Lab
The Seattle Robotics Lab team advances robotics to enable complex manipulation in human environments. Research focuses on dexterous control, perception, and learning to support robots in industries like manufacturing, logistics, and healthcare.
GEAR (Generalist Embodied Agent Research)
GEAR builds foundation models for embodied agents across real and virtual worlds. Research spans vision-language models, world models, general-purpose robotics, large action models, and scalable simulation.
NVIDIA Spatial Intelligence Lab
Focused on 3D understanding and interaction, this lab explores spatial AI, generative 3D content, geometry processing, physics simulation, and physical intelligence for advanced spatial computing.
NVIDIA Research Autonomous Vehicle Research Group
This research team tackles core autonomy challenges—perception, planning, prediction—while advancing learning under uncertainty and safety validation for robust, real-world autonomous driving.
NVIDIA's Autonomous Vehicles Applied Research Group
The team maximizes the impact of the latest research advances on the AV product. Research areas include model-centric and data-centric deep learning toward more efficient and scalable systems.
Upcoming Research Events
September 27-October 2
Seoul, South Korea
October 19-23
Honolulu, Hawaii
December 2-7
San Diego, California
Robotics Use Cases
Humanoid Robots
Accelerate the development of advanced AI robotics.
Robot Learning
Train robot policies in simulation.
Robotics Simulation
Develop physically accurate sensor simulation pipelines for robotics.
Synthetic Data Generation
Accelerate development of physical and agentic AI workflows.
Industrial Facility Digital Twins
Develop advanced, generative AI-enabled virtual facility solutions.