Training a Robot from Scratch in Simulation, from URDF to OpenUSD

Learn how to train robots from scratch using simulation. In this session, Muammer Bay from LycheeAI walks through each step for training the SO-100 arm — starting from a basic URDF model and transforming it into a fully functional, trainable agent using Isaac Sim and Isaac Lab. Whether you're new to robotics or looking to train custom agents, you'll gain practical insights to build your own simulation-to-training pipeline.

Be sure to check out NVIDIA's free self-paced courses on robotics ➡️ https://nvda.ws/4lRcE2D

Muammer Bay's (aka LycheeAI) links:
YouTube Channel:    / @lycheeai  
Platform for learning and developing with Isaac Sim and Isaac Lab: https://lycheeai-hub.com/
Patreon Page:   / lychee_ai  

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

Chapters:
00:00 - Welcome & Opening Remarks
05:13 - Meet the Guest: Lychee AI
13:47 - Hardware & SO-100 ARM Deep Dive
21:00 - Isaac Sim and Isaac Lab Foundations
41:00 - Community Q&A and Practical Tips
1:04:00 - Reinforcement Learning & Training
01:12:00 - Results, Reflections & Future Projects (01:12:00 – 01:19:00)
01:19:00 - Resources, Study Groups & Community
01:22:00 - Closing Remarks & Farewell


Resources and links from today's stream are available on the livestream Discord thread:   / discord  

Invite to join the server:   / discord  

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

Learning Path (free self-paced courses) for OpenUSD: https://www.nvidia.com/en-us/learn/le...

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.

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