The ability of a robot to navigate and make decisions without human intervention, using sensors and algorithms.

A small, affordable computer used for programming and building electronic projects, widely utilized in robotics.

The process of connecting and configuring sensors to gather data for a robot's navigation and decision-making.

Mathematical methods used to control a robot's movements and behavior based on sensor inputs.

A control loop feedback mechanism that adjusts a robot's actions to minimize error by using proportional, integral, and derivative terms.

A computational model used to design the behavior of a robot based on different states and transitions.

A device that measures distance by sending out sound waves and detecting their reflections, commonly used in obstacle detection.

A sensor that detects infrared radiation, often used for proximity sensing and navigation.

A visual representation of the electrical connections between components in a robot, essential for setup.

Analyzing sensor data to make informed decisions about a robot's actions and navigation.

Methods used to identify and resolve issues in robotic systems, ensuring smooth operation.

The process of regulating the speed and direction of a robot's motors to achieve desired movements.

Procedures that guide a robot's path through an environment, essential for autonomous movement.

A structured approach to evaluate a robot's performance across various scenarios, ensuring reliability.

The process of improving algorithms based on feedback and testing results to enhance performance.

The design of a maze that a robot must navigate, critical for testing navigation capabilities.

A methodical approach to identifying and fixing problems in robotic systems, enhancing reliability.

A detailed list of terms and definitions relevant to the course, aiding student understanding.

Practical engagement in building and programming robots, reinforcing theoretical knowledge.

An early sample or model of a robot used to test concepts and functionality before final production.

An educational approach where students learn by actively engaging in real-world projects.

Methods for students to think critically about their learning experiences and outcomes.

The process of compiling and presenting work samples to demonstrate skills and learning progress.

Skills used to effectively communicate ideas and findings to an audience during presentations.

Fundamental concepts that guide the design and construction of robotic systems.

Practical uses of robotics in various industries, showcasing the relevance of skills learned.