How to Use This Glossary
Content Levels
Each entry is tagged with a level indicating the type of content:
Conceptual
Theory and foundational understanding. Answers “what is this?” and “why does it matter?”
Examples: Kinematics, Degrees of Freedom, Coordinate Frames
Practical
Hands-on, how-to content. Answers “how do I use this?” with code, setup guides, and workflows.
Examples: Jetson Thor, ROS 2, Isaac ROS, DGX Spark
Deep Dive
Comprehensive, in-depth coverage. Goes beyond basics into architecture, algorithms, and advanced usage.
Examples: SLAM (full pipeline breakdown), Motion Planning algorithms
Site Organization
The glossary is organized by domain:
Concepts
Theoretical foundations that underpin robotics:
- Fundamentals — Core concepts (kinematics, DOF, transforms)
- Perception — How robots sense the world (SLAM, vision, sensor fusion)
- Control & Planning — How robots decide and act
- AI & Learning — Machine learning for robotics
Hardware
Physical compute platforms and components:
- Compute Platforms — Jetson Thor, Jetson Orin, DGX Spark
- Sensors — Cameras, LiDAR, IMU
- Actuators — Motors, servos, grippers
Software
Tools, frameworks, and platforms:
- Frameworks — ROS 2 and middleware
- Isaac Platform — NVIDIA’s robotics software stack
- Simulation — Isaac Sim, Gazebo
- SDKs & Tools — TensorRT, cuDNN, etc.
Navigation
Sidebar
Browse by category. Sections expand to show related entries.
Search
Press / to search anywhere. Works on titles, descriptions, and content.
Links
Every term links to related concepts. Follow your curiosity.
Keyboard Shortcuts
| Key | Action |
|---|---|
/ | Open search |
← | Previous page |
→ | Next page |
Esc | Close dialogs |
Callout Types
Throughout the glossary, you’ll see colored callout boxes:
- Note (blue): Additional context or background
- Tip (green): Best practices and recommendations
- Caution (yellow): Important warnings
- Danger (red): Critical information about potential issues
Contributing
Found an error? Want to add a term? See our contribution guide.