Overview
In Getting Started: Simulating Your First Robot in Isaac Sim, we will begin a comprehensive learning path to begin robotics simulation using Isaac Sim. This beginner-friendly course guides you through building a simple robot by assembling key components such as the chassis, wheels, and joints. You'll then apply physics properties to simulate realistic interactions between the robot and its environment.
As you progress, you'll design control mechanisms using ROS 2 and OmniGraph to enable dynamic movement of the robot. You'll integrate advanced sensors like RGB and 2D Lidar to enhance the robot's environmental awareness. Next, you'll transmit sensor data from Isaac Sim to ROS 2 for real-time visualization and analysis in RViz. Finally, you'll learn to diagnose and troubleshoot common issues related to simulation, control, and data streaming to ensure smooth operation of the robot.
This course equips you with essential skills for creating dynamic simulations and lays the groundwork for future robotics projects. By the end of this course, you'll have a solid foundation in using Isaac Sim to simulate and control robots, preparing you for more advanced robotics projects.
Course Description & Learning Outcomes
Assemble a simple robot model in Isaac Sim using basic prims as key components such as the chassis, wheels, and joints.
Apply physics to simulate realistic interactions between the robot and its environment.
Design control mechanisms using ROS 2 and OmniGraph to enable dynamic movement of the robot.
Integrate advanced sensors like RGB and 2D lidar to enhance the robot's environmental awareness.
Transmit sensor data from Isaac Sim to ROS 2 for real-time visualization and analysis in RViz.
Recommended Prerequisites
Basic Python knowledge and familiarity with robotics concepts.
A Linux machine meeting Isaac Sim's system requirements is necessary for this course and for properly running simulations.
Schedule
Date: 13 Mar 2025, Thursday
Time: 2:00 PM - 3:00 PM (GMT +8:00) Kuala Lumpur, Singapore
Location: 32 Carpenter Street, 059911