> For the complete documentation index, see [llms.txt](https://nxp.gitbook.io/mr-b3rb/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nxp.gitbook.io/mr-b3rb/preproduction-nxp-mr-b3rb-buggy3-revb/introduction/list-of-abbreviations-and-glossary.md).

# List of Abbreviations and Glossary

**Autonomy vs Automation**

\- Automation: Derived from the Greek word "automaton," meaning something that acts by itself. Refers to machines repeating the same motion or tasks without human intervention.

\- Autonomy: The capability of a system to govern itself and make decisions independently, operating under its own set of laws.

**Robot vs Vehicle**

\- Robot: From the Czech word "robota," meaning forced labor. A machine that operates automatically or via remote control to perform tasks.

\- Vehicle: A device designed for transporting people or cargo.

**Robotic System:** A combination of a robot, its environment, supporting infrastructure, other machines, and humans interacting with it.

**AMR vs AGV**

\- AMR: Autonomous Mobile Robot, capable of navigating and making decisions independently.

\- AGV: Automated Guided Vehicle, follows predefined paths or instructions.

**Agent and World vs Controller and Plant**

\- Agent and World: Conceptual framework where the agent (robot) interacts with the world (environment).

\- Controller and Plant: The controller directs the plant (mechanical system) to achieve desired outcomes.

**Estimate and Belief**

\- Estimation: The process of transforming sensor data into actionable information such as position, orientation, and velocity for the robot.

\- Belief: The robot's internal representation or estimate of its current state based on the processed data.

**Ackermann Steering:** A geometrical arrangement in vehicles ensuring all wheels follow concentric circular paths while turning, allowing inner wheels to turn sharper than outer wheels, thus reducing tire slip and wear.

**CAN Bus** (Controller Area Network Bus):  A robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other without a host computer.

**CogniPilot:**  The software platform used in MR-B3RB to enable autonomous navigation and control, integrating sensor data and executing navigation algorithms.

**GPS** (Global Positioning System):  A satellite-based navigation system used in MR-B3RB to provide accurate position and timing information.

**IMU** (Inertial Measurement Unit):  A device that measures and reports a robot's specific force, angular rate, and sometimes the magnetic field surrounding the body, aiding in navigation and orientation.

**Kalman Filter:**  An algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, to produce estimates of unknown variables that tend to be more accurate than those based on a single measurement alone.

**LIDAR**:  Light Detection and Ranging, a remote sensing method used in MR-B3RB for measuring distances and creating detailed maps of the environment.

**MR-CANHUBK344:** A central hub in the MR-B3RB system used for managing CAN (Controller Area Network) communications between different modules.

**NavQPlus:**  A development platform used in MR-B3RB for advanced computing and sensor integration, including cameras and GPS.

**PID** Controller (Proportional-Integral-Derivative Controller):  A control loop mechanism used in industrial control systems, employing feedback to maintain the desired output of a system.

**PWM** (Pulse Width Modulation):  A technique used to control the power supplied to electrical devices, crucial for motor speed control in MR-B3RB.

**QDEC** (Quadrature Decoder):  A system used to interpret signals from rotary encoders, providing precise measurements of wheel rotations in MR-B3RB.

**RGB LED:** A light-emitting diode that can emit red, green, and blue colors, used in MR-B3RB for visual status indicators.

**ROS2** (Robot Operating System 2):  An open-source framework for robot software development, providing tools and libraries for building and controlling robots like MR-B3RB.

**SLAM** (Simultaneous Localization and Mapping):  A process by which a robot or device constructs a map of an unknown environment while simultaneously keeping track of its location within that environment.

**ToF** (Time of Flight) Camera:  A depth sensor that measures the time it takes for a light signal to return after being reflected off an object, used in MR-B3RB for obstacle detection.

**Waypoint Navigation:** A navigation method in which a robot or vehicle follows a series of pre-defined points, or waypoints, to reach its destination.