Robotics Fundamentals

Explore the world of autonomous robots, robotic systems, and key components like sensing, perception, mapping, localization, navigation, and control.

Gain a foundational understanding of Isaac ROS, a robotics framework built on top of the Robot Operating System (ROS).

Get introduced to the basics of Isaac Sim by building and controlling a primitive, simple robot with sensors and ROS2 integration.

Import and simulate robots in Isaac Sim using Unified Robot Description Format (URDF) assets, setting up control interfaces and sensors for hands-on experience configuring robotic assets.

Train and deploy perception models using synthetic data generation (SDG) for dynamic robotic tasks, including simulation, domain randomization, and model evaluation for real-world robotic applications.

Learn the fundamentals of SIL concepts, benefits, and its application in robotics development using Isaac Sim and ROS 2.

Bridge the gap between simulation and real-world implementation through simulated environments, ROS 2 integration, and synthetic data generation for AI-powered robotics using HIL.

This explainer course serves as an introduction to robot learning and the functionality of Isaac Lab.

This explainer course discusses core principles for successful sim-to-real and bridging the reality gap.