Robotics with AI

Build smart robots by combining robotics with artificial intelligence in a child-friendly way.

This course introduces children to AI-powered robotics, where they can create robots that can “see” and “respond.” Using Raspberry Pi and AI models, kids will learn the basics of computer vision and smart automation.
What they’ll learn:

Introduction to Robotics

  • What is Robotics?

  • Key Concepts & History of Robotics

  • Types of Robots:

    • Industrial Robots

    • Service Robots

    • Autonomous Vehicles

    • Humanoid Robots

    • Swarm Robotics

  • Tools & Frameworks Overview: Arduino, Raspberry Pi

  • Hardware Basics: Breadboard, Resistors, LEDs, Motors

  • Sensors: Ultrasonic, IR, Temperature, Humidity

  • Actuators: DC & Servo Motors

  • Simulation Tools: TinkerCAD, Proteus

  • Mini Project: Build a Simple LED Circuit


Getting Started with Arduino

  • Introduction to Arduino: What is Arduino?

  • Setting Up Arduino IDE

  • Basic Programming Concepts (setup, loop, digitalWrite, analogRead)

  • Hands-On:

    • Blinking LED

    • RGB LED Control

    • Button Input

  • Project: Traffic Light Simulation


Working with Raspberry Pi

  • What is Raspberry Pi?

  • Setting Up Raspbian OS

  • Basic Linux Commands

  • Python Basics for Raspberry Pi

  • GPIO Programming (controlling LEDs, buzzers)

  • Sensor Interfacing: Temperature, Light

  • Project: Smart Home Automation Prototype


Sensors & Perception

  • Understanding Sensors: Proximity, Temperature, Humidity, Light, Accelerometer, Gyroscope

  • Sensor Calibration & Data Interpretation

  • Arduino & Pi Sensor Interfacing

  • Ultrasonic Distance Measurement, IR Sensing

  • Reading Analog vs Digital Signals

  • Communication Systems: Serial, Bluetooth (HC-05), Wi-Fi

  • IoT Basics: Connecting sensors to the cloud (ThingSpeak, Blynk)

  • Hands-On:

    • Temperature-Controlled Fan

    • Stream sensor data to cloud dashboard

  • Projects:

    • Bluetooth-Controlled Car

    • Smart Irrigation System


Actuators & Motion Control

  • Introduction to Actuators: DC Motors, Stepper, Servo

  • Motor Drivers: L298N, L293D

  • PWM for Speed Control

  • Hands-On:

    • Build a Servo-based Robotic Arm

    • Control DC motor speed with PWM

  • Projects:

    • Potentiometer-controlled Servo

    • DC Motor Speed Controller


AI in Robotics

  • Introduction to AI in Robotics

  • Computer Vision with OpenCV:

    • Image Processing basics

    • Object Detection & Recognition

  • Gesture Recognition: Using camera for hand signals

  • AI-powered Automation: Person recognition, AI-based decision making

  • Hands-On:

    • Train a simple ML model (TensorFlow / Scikit-learn) for object recognition

    • Gesture-controlled appliance switching

  • Projects:

    • Face Detection Security System


Capstone Project

  • Design, build, and program a complete robotic system

  • Combine sensors, actuators, AI, and IoT

  • Example Projects:

    • Autonomous Obstacle Avoidance Robot

    • AI-enabled Smart Surveillance Car

    • AI-powered Home Assistant Robot

  • Deliverables:

    • Code walkthrough

    • Documentation & report

    • Live demo / presentation

Course Outcomes

  • Understand robotics concepts and types of robots

  • Work with Arduino and Raspberry Pi hardware

  • Interface sensors (ultrasonic, IR, temperature, etc.) and actuators (motors, servos)

  • Implement motion control using motor drivers and PWM

  • Develop IoT-enabled robotic systems with cloud connectivity

  • Apply AI and computer vision (OpenCV, object & face detection, gesture recognition)

  • Build hands-on robotics projects and a final capstone system

  • Gain problem-solving, innovation, and documentation skills