FTC SIM: Perceiving the Path: Using Sensors for Robot Decisions (Gr. 4-8)
Description
Explore the world of self-driving robots with hands-on experience using the FTC Simulator in this lesson. This session shifts focus on the critical role of sensors in autonomous navigation, highlighting how robots use these tools to perceive their surroundings and make informed decisions. Students will be introduced to two key types of sensors: a colour sensor and an ultrasonic (distance) sensor. Through engaging activities, they will learn how to program a colour sensor to recognize and react to different coloured surfaces, an essential skill for path following and decision-making based on visual cues. Additionally, the lesson will cover applying an ultrasonic sensor to detect obstacles and measure distances, enabling robots to avoid collisions and navigate complex environments effectively. By integrating these sensors, students will enhance their robots’ ability to maneuver autonomously with precision, showcasing the intersection of coding, robotics, and sensor technology.
Learning Objectives
In the lesson, students will:
- Learn how to integrate and program a colour sensor into their robot’s design using the FTC Simulator, enabling the robot to detect and differentiate between colours for path navigation and decision-making;
- Understand the functionality and application of an ultrasonic sensor for distance measurement, allowing their robots to avoid obstacles and navigate through predetermined paths with precision autonomously;
- Develop skills in synthesizing sensor inputs to make informed decisions in real-time, enhancing their robot’s ability to perform complex tasks autonomously and react to dynamic environments.
Find Out More
FIRST Tech Challenge (FTC) SIM
FTC SIM is an exciting new game-based learning simulator that leads you from working with virtual robots to building them in real life! FIRST Robotics Canada’s FIRST Tech Challenge (FTC) SIM offers students a virtual environment in which they can learn and apply programming skills to pre-designed FTC robots.