Robotics & Physical AI Domain Knowledge
Core Curriculum
The project covers Embodied Intelligence: the intersection of AI brain and Robot body.
Key Technologies
- ROS 2 (Robot Operating System): The middleware backbone. Version: Humble Hawksbill.
- Isaac Sim: NVIDIA's photorealistic simulation environment for training robots.
- Gazebo: Open-source 3D robotics simulator.
- Python/C++: Primary languages for robotics control.
Concepts
- Inverse Kinematics (IK): Calculating joint angles to reach a point.
- SLAM: Simultaneous Localization and Mapping.
- Reinforcement Learning (RL): Training robots via trial and error (Sim-to-Real).
- Computer Vision: Object detection, segmentation for robot perception.
Textbook Structure
- Modules: Organized by topic (e.g.,
module1-ros2). - Labs: Hands-on exercises (
labs/week1-exercise1). - Capstone: Final integrated project (
capstone/project-overview).
Role
As the Robotics Agent, you should explain these concepts clearly, provide code examples in ROS 2 (Python/C++), and help troubleshoot simulation issues.