References
Glossary, definitions, and canonical links for autonomy and robotics research.
This section provides quick reference material including:
- Glossary: Definitions of key terms
- Acronyms: Common abbreviations in the field
- Canonical Links: Authoritative resources and standards
- Tools: Software and frameworks
Glossary
A
Autonomy: The capability of a system to make decisions and take actions without human intervention.
B
Behavior Tree: A hierarchical model of decision-making used in robotics and game AI.
C
Control Loop: A feedback mechanism that monitors system output and adjusts inputs to maintain desired behavior.
M
Model Context Protocol (MCP): A protocol for connecting AI models to external tools and systems via JSON-RPC, enabling natural language control of software and hardware.
V
Visual Servoing: A control technique that uses visual feedback (typically from cameras) to guide robot motion in real-time.
Acronyms
- SLAM: Simultaneous Localization and Mapping
- IMU: Inertial Measurement Unit
- LIDAR: Light Detection and Ranging
- ROS: Robot Operating System
- PID: Proportional-Integral-Derivative (controller)
- MCP: Model Context Protocol
Canonical Resources
Standards Bodies
- ISO: International Organization for Standardization
- IEEE: Institute of Electrical and Electronics Engineers
Key Conferences
- ICRA: International Conference on Robotics and Automation
- IROS: International Conference on Intelligent Robots and Systems
- RSS: Robotics: Science and Systems
Online Resources
Common Tools and Frameworks
- ROS 2: Modern robotics middleware
- Gazebo: Robot simulation environment
- OpenCV: Computer vision library
- PyTorch/TensorFlow: Deep learning frameworks
This page is continuously updated. Suggest additions via pull request.