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Course Duration: 3 Weeks (6 Days per Week, 2–3 hours/day)
Course Description:
This intensive 3-week course introduces participants to the exciting world of Robotics and IoT. Learners will gain foundational knowledge in electronics, sensors, microcontrollers (Arduino and ESP8266/ESP32), and programming (C/C++ and basic Python), leading to the development of smart robotic systems integrated with the Internet of Things. The course emphasizes a hands-on approach through guided projects that include building autonomous robots, home automation systems, and remote sensor monitoring.
By the end of the course, students will have the skills to prototype their own smart devices and robots, understand communication protocols like MQTT and HTTP, and deploy basic cloud-based IoT dashboards.
Target Audience:
- Secondary school leavers
- Polytechnic/University students
- Educators in STEM
- Tech enthusiasts and beginners interested in Robotics and IoT
- Hobbyists and makers
Learning Outcomes:
By the end of the course, participants will be able to:
- Understand the basic principles of robotics and IoT.
- Work with sensors, actuators, and microcontrollers.
- Build and program autonomous robots using Arduino.
- Create IoT devices with real-time communication.
- Integrate sensors and control devices over the internet.
- Use cloud platforms for data visualization (e.g., ThingSpeak, Blynk).
- Design and deploy basic smart home and automation systems.
Course Outline:
Week 1: Introduction to Robotics and IoT Fundamentals
Day 1: Course Introduction and Setup
- What is Robotics? What is IoT?
- Application areas: Healthcare, Agriculture, Smart Cities, Industry 4.0
- Course tools and materials overview
- Installing Arduino IDE & Drivers
- Introduction to microcontrollers (Arduino Uno, ESP8266)
Day 2: Electronics and Circuit Design Basics
- Voltage, current, resistance (Ohm’s law)
- Breadboard basics and wiring
- LEDs, resistors, capacitors
- Using multimeters and basic tools
- Building your first LED blink project
Day 3: Arduino Programming Basics
- Structure of an Arduino program
- Digital & analog pins
- Writing and uploading your first sketch
- Serial Monitor and debugging
Day 4: Working with Sensors
- Reading data from Temperature (DHT11), Ultrasonic, and IR sensors
- Analog vs Digital Sensors
- Displaying sensor values on Serial Monitor
Day 5: Actuators and Motors
- What are actuators?
- Controlling Servo Motors and DC motors
- Introduction to Motor Driver Modules (L298N)
Day 6: Mini Project 1 – Basic Obstacle Avoiding Robot
- Assembling and wiring a simple robot car
- Programming logic for obstacle detection
- Testing and troubleshooting
Week 2: IoT Concepts and Robotics Integration
Day 7: Introduction to IoT Platforms and Communication
- What is IoT communication?
- Wi-Fi module basics (ESP8266/ESP32)
- HTTP vs MQTT protocols
- Overview of cloud platforms (ThingSpeak, Blynk, Adafruit IO)
Day 8: Connecting Arduino to the Internet
- ESP8266 Wi-Fi module setup
- Sending sensor data to ThingSpeak
- Visualizing data on the cloud
Day 9: Home Automation Basics
- Controlling LEDs and appliances via smartphone
- Introduction to relays
- Remote switching using Blynk App
Day 10: IoT with Sensors
- Building a temperature and humidity monitor
- Displaying data on phone using Blynk/ThingSpeak
- Sending email/SMS alerts using IFTTT
Day 11: Combining Robotics with IoT
- Remote control of robot via Wi-Fi
- Voice control using Google Assistant + IFTTT
- Live location tracking of a robot
Day 12: Mini Project 2 – Smart Home Prototype
- Creating a voice-controlled room light system
- Integrating temperature sensor and automatic fan control
Week 3: Advanced Integration and Capstone Project
Day 13: IoT Security and Best Practices
- Risks of connected devices
- Safe programming practices
- Passwords, data encryption, and user authentication
Day 14: Edge Computing and Smart Decision Making
- Basic AI with Arduino (threshold-based logic)
- Introduction to MicroPython on ESP32
- Local vs cloud-based processing
Day 15: Using Node-RED for IoT Workflow
- Introduction to Node-RED dashboard
- Drag-and-drop automation
- Creating a real-time dashboard
Day 16: Real-World Case Studies
- Smart Agriculture: Moisture sensor irrigation
- Smart Cities: Waste management, air quality monitor
- Industry 4.0: Machine health monitoring
Day 17: Capstone Project Building Day
- Students pick one project:
- Smart Robot Delivery Cart
- Automated Greenhouse System
- Smart Energy Monitoring System
- Remote-controlled Rover with camera feed (if camera module available)
Day 18: Capstone Presentation & Certification
- Project demo and presentations
- Evaluation and feedback
- Awarding certificates and course wrap-up
Materials Required:
- Arduino Uno + USB cable
- ESP8266 or ESP32 module
- Breadboard, jumper wires
- LEDs, resistors, buzzers
- Sensors: DHT11, Ultrasonic, IR, LDR
- Motors: Servo, DC motors, motor driver (L298N)
- Wheels, chassis, caster wheel (for robots)
- Relay module (for appliance control)
- Smartphone with Blynk or IoT dashboard apps