Presentation
NVIDIA DLI Training: From Pixels to Action: Rapidly Building and Adapting AI Robot Behaviors with GRID
SessionNVIDIA DLI Training
DescriptionIn the era of embodied AI, the boundary between digital creation and physical action is vanishing. This session introduces GRID, General Robotics’ low-code AI development platform that enables creators, engineers, and scientists to quickly generate, deploy, and adapt intelligent robot behaviors—bridging the gap between visual concepts and real-world robotics.
We’ll explore a novel agentic workflow for developing robot skills—where creators collaborate with physical agents in real time, iterating with minimal friction. Whether you're designing a robot animation, visualizing a behavior, or prototyping a new product interaction, GRID empowers users to translate those visual and conceptual ideas into executable AI on physical robots.
Participants will get hands-on experience in a workshop using GRID and select from a range of research and commercial-grade robots to program, deploy, and adapt behaviors “on the fly,” watching your ideas come to life in the physical world in minutes—not hours or days.
We’ll explore a novel agentic workflow for developing robot skills—where creators collaborate with physical agents in real time, iterating with minimal friction. Whether you're designing a robot animation, visualizing a behavior, or prototyping a new product interaction, GRID empowers users to translate those visual and conceptual ideas into executable AI on physical robots.
Participants will get hands-on experience in a workshop using GRID and select from a range of research and commercial-grade robots to program, deploy, and adapt behaviors “on the fly,” watching your ideas come to life in the physical world in minutes—not hours or days.
Event Type
Industry Session
TimeMonday, 11 August 20259:00am - 10:45am PDT
LocationWest Building, Rooms 116-117
Session TimeMonday, 11 August 20259:00am - 3:45pm PDT
LocationWest Building, Rooms 116-117
New Technologies
Artificial Intelligence/Machine Learning
Digital Twins
Generative AI
Hardware
Physical AI
Robotics
Simulation
Full Conference
Experience
Exhibits Only
Monday