Presentation

<
Hands-on Course: Accelerate Robot Learning With NVIDIA Isaac Lab and Newton
DescriptionHands-on course on Newton, a GPU-accelerated physics engine, and its integration with Isaac Lab for robot learning. Covers Newton’s architecture and import pipeline, solver and contact tuning, articulation and sensors, then training and evaluating policies in Isaac Lab with Newton as the physics backend.
Lecturers
Akul Santhosh
NVIDIA
Shane Reetz
NVIDIA
Event Type
Course
TimeWednesday, 22 July 202610:00am - 11:30am PDT
LocationConcourse Hall
Interest Areas
New Technologies
Keywords
Artificial Intelligence/Machine Learning
Digital Twins
Physical AI
Pipeline Tools and Work
Real-Time
Robotics
Simulation
Registration Categories
Full Conference Supporter
Full Conference
Experience
Next PresentationNext PresentationEmerging Technologies Demo - GauSmoke: Hybrid Physics-Optical Gaussian Splatting for Sparse Smoke Reconstruction
Similar Presentations
NVIDIA Physical AI Day | Introduction to Newton: Open-Source GPU Physics for Robotics
Hands-on Course: NVIDIA: Simulating a Dextrous Hand For Robotics With OpenUSD
Hands-on Course: Advance World Simulation With 3D Gaussian Splatting for Large-Scale Environment Reconstruction