Obstacle Avoidance Robot using Raspberry pi pico, Obstacle Avoidance Robot using Micro Python and block Programming.
Course Description
The “Obstacle Avoidance Robot” course is an in-depth exploration into the world of robotics, focusing on the design and implementation of autonomous robots capable of navigating complex environments. This course is tailored for students who are interested in robotics, artificial intelligence, and embedded systems, providing a solid foundation in both the theoretical and practical aspects of robot navigation.
Throughout the course, students will engage in hands-on projects that involve designing, building, and programming robots equipped with sensors to detect and avoid obstacles. We shall also be building some basic projects as we progress towards building the obstacle avoidance robot, like Automated barrier system, Christmas Light, Traffic Light etc.
The curriculum covers essential topics such as sensor integration, including ultrasonic sensor to enable the robot to perceive its surroundings accurately. Students will also delve into algorithm development for obstacle detection and avoidance, learning how to implement navigation techniques, we shall also explore the use of L298N Motor driver for speed control of geared DC (direct current) motors.
In addition to technical skills, the course emphasizes problem-solving and critical thinking, challenging students to troubleshoot and optimize their robot’s performance in real-time. By the end of the course, students will have a comprehensive understanding of how to create robots that can autonomously navigate dynamic environments, making them well-prepared for advanced studies or careers in robotics, automation, and AI-driven technologies.
