Description

Course Structure:

Module 1: Introduction to Raspberry Pi (3 Hours)

• Topics Covered:
  • Overview of Raspberry Pi: Models and specifications.
  • Setting up Raspberry Pi: OS installation and basic configuration.
  • Introduction to Python programming for robotics.
• Activities:
  • Run basic Python scripts on Raspberry Pi.
  • Control the Raspberry Pi’s GPIO pins to blink an LED.

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Module 2: Robot Chassis Assembly and Motor Control (4 Hours)

• Topics Covered:
  • Building the robot’s chassis and assembling components.
  • Controlling DC motors using the L293D motor driver and GPIO.
• Activities:
  • Write Python code to control motor direction and speed.
  • Test basic robot movements: forward, backward, left, and right.

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Module 3: Sensor Interfacing (4 Hours)

• Topics Covered:
  • Basics of sensor types and data acquisition.
  • Interfacing ultrasonic sensors for obstacle detection.
  • Using IR sensors for line-following robots.
• Activities:
  • Build an obstacle-avoiding robot.
  • Program a line-following robot using IR sensors.

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Module 4: Camera Integration and Computer Vision (4 Hours)

• Topics Covered:
  • Connecting and configuring the Raspberry Pi Camera Module.
  • Introduction to OpenCV for computer vision tasks.
• Activities:
  • Write Python scripts to capture images and video.
  • Implement object detection and color tracking for a vision-based robot.

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Module 5: IoT in Robotics (3 Hours)

• Topics Covered:
  • Connecting the Raspberry Pi to the internet.
  • Sending robot data to the cloud and controlling it remotely.
• Activities:
  • Build a web interface to control the robot.
  • Log sensor data to an IoT platform (e.g., ThingSpeak).

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Module 6: Advanced Robot Behaviors (4 Hours)

• Topics Covered:
  • Combining multiple sensors for complex behaviors.
  • Implementing path planning algorithms (e.g., basic maze-solving).
• Activities:
  • Create a robot that avoids obstacles while following a predefined path.
  • Program the robot to solve a simple maze autonomously.

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Module 7: Final Project – Autonomous Smart Robot (6 Hours)

• Project:
  • Build an autonomous robot integrating all modules:
    • Use the ultrasonic sensor for obstacle detection.
    • Utilize the camera for visual navigation.
    • Log data and allow remote monitoring via IoT.
  • Test and refine the robot’s behavior in a real-world scenario.

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Learning Outcomes:

• Understand Raspberry Pi hardware and software essentials.
• Learn to interface and program sensors, motors, and actuators.
• Build and program robots for autonomous and remote-controlled tasks.
• Explore IoT and computer vision applications in robotics.

This course is ideal for beginners and intermediate learners who want to create their own robotic systems while exploring Raspberry Pi’s versatility!