Introduction to Robot Simulation: Learn How to Develop, Simulate, and Deploy Scalable Robot Intelligence

Robots hold massive potential to automate and scale difficult and repetitive tasks across industries and in our lives. Programming robots to conduct these tasks safely has historically been challenging, costly, and specialized. Robotics simulation enables developers to virtually train, test, and validate robots in physics-based digital representations of the real world.

In this lab, we’ll take you through the end-to-end robotics development process using Scaled Foundations’ GRID platform powered by NVIDIA Isaac Sim. Starting with a fully functional robot simulation instance with a robot, sensor, AI model, and environment, you’ll create an end-to-end, functional robot solution to perform a task and combine your robot solution with several of the latest robot AI models. Finally, you’ll see how you can take your solution from GRID and deploy on a real robot.
Prerequisite(s):

Experience with Python.
Basic knowledge of robotic architectures.