Developing a Reality-Capture Environment and Timing System for AMR Racing and Reinforcement Learning

Опубликовано: 27 Октябрь 2024
на канале: NVIDIA Omniverse
1,716
29

Join us this week as we continue developing our reality-capture environment. We’ll showcase the timing system we’ll be using at GTC for the Autonomous Mobile Robot (AMR) race. This timing system also serves as the foundation for a reward system in our reinforcement learning workflow. Don’t miss this exciting session packed with insights and practical applications!

📆 Check out the full calendar for all of our upcoming events → https://nvda.ws/3JqaWnA

----------------------------------------------------------------------------

⬇️Get Started → https://nvda.ws/4cZAZO1
👀Explore OpenUSD → https://nvda.ws/3CeozBQ
👥Join the Community → https://nvda.ws/3ZMfc6e

About NVIDIA Omniverse:
NVIDIA Omniverse™ is a platform that enables developers to easily integrate Universal Scene Description (OpenUSD) and RTX rendering technologies into existing software tools and simulation workflows for building AI systems.

Please note that this video is intended for informational purposes only, and should not be treated as a source for official product or company announcements.

#OpenUSD
#3D
#DigitalTwin
#NVIDIAOmniverse