RoboMaster

MODULE 1: Robotics, IoT & Arduino Foundations (12 Sessions)

🔹 Topics Covered:

• Introduction to Robotics: definition, history, real-world applications.
• IoT basics & synergy with Robotics (Smart Homes, Smart Cities, Industry 4.0).
• Arduino UNO basics: board, Arduino IDE setup, first sketch (Blink LED).
• Electronics fundamentals: breadboard, LEDs, resistors, Ohm’s law.
• Digital vs Analog pins, Serial monitor.
• Sensors: Push Buttons, LDR, DHT11, Ultrasonic, PIR.
• Actuators: DC motors, Servos, Buzzers, Relay.
• Motor drivers (L298N), PWM speed control.
• LCD interfacing (I2C).

🔧 Practical Tasks:

• LED blinking & fading, traffic light simulation.
• Button-controlled LED.
• Digital Thermometer (DHT11 + LCD).
• Distance Meter (Ultrasonic).
• Servo sweep + Smart Fan (DHT11 + motor).
• Buzzer alarm system.

🎯 Learning Outcome:

Students gain a strong foundation in Robotics, IoT basics, Arduino programming, electronics, sensors & actuators.

MODULE 2: Robot Development & IoT Integration (10 Sessions)

🔹 Topics Covered:

• Robot mobility: chassis, wheels, power supply.
• Line follower robot with IR sensors.
• Obstacle avoidance robot with Ultrasonic sensor.
• Bluetooth module (HC-05) & smartphone control.
• IoT applications: Smart Dustbin, Home Automation basics.
• IoT protocols (HTTP, MQTT) – simplified introduction.
• Introduction to ESP8266/NodeMCU for Wi-Fi-based IoT.
• Sending sensor data to cloud (ThingSpeak/Blynk).
• IoT Home Automation: appliance control via mobile app.

🔧 Practical Tasks:

• Build a Line Follower robot.
• Build an Obstacle Avoidance robot.
• Bluetooth-controlled robot with Android.
• IoT-based Weather Station (DHT11 + NodeMCU).
• Wi-Fi connected temperature sensor.
• Remote light/fan control.

🎯 Learning Outcome:

Students integrate Robotics with IoT, enabling robots/devices to connect, communicate, and be remotely controlled.

MODULE 3: Capstone Projects & Evaluation (6 Sessions)

🔹 Project Phase:

Students (individually or in groups) design, build, and present a final IoT-enabled Robotics project.

🧪 Example Projects:

• IoT-based Smart Irrigation System.
• Fire Detection & Alert Robot.
• Motion-activated Security Alarm.
• Voice-controlled Home Automation.
• RFID Attendance System (advanced option).

📝 Assessment:

• Practical Demonstration (50%)
• Viva / Presentation (30%)
• Quiz/Test (20%)

🎯 Learning Outcome:

Students apply all concepts to complete a real-world prototype, gaining project design and teamwork experience.

MODULE 4: IoT with Raspberry Pi – Basics (6 Sessions)

🔹 Topics Covered:

• Introduction to Raspberry Pi (latest model, GPIO pins).
• Installing Raspberry Pi OS, Python programming basics.
• Remote access: SSH, VNC.
• Interfacing simple sensors (DHT11, PIR, Ultrasonic) with Raspberry Pi.
• Using Python libraries (GPIOZero, RPi.GPIO).

🔧 Practical Tasks:

• Blink LED using Python on Raspberry Pi.
• DHT11 Temperature Logger.
• PIR Motion Alarm.
• Ultrasonic distance display on terminal.

🎯 Learning Outcome:

Students learn Python-based IoT programming with Raspberry Pi and sensor interfacing.

MODULE 5: Advanced IoT with Raspberry Pi & Cloud (6 Sessions)

🔹 Topics Covered:

• IoT Communication protocols (HTTP, MQTT).
• Sending data to cloud platforms (ThingsBoard, Firebase, Adafruit IO, Blynk).
• Building real-time dashboards.
• Camera Module integration – live video streaming.
• Smart Home IoT case study (automation + monitoring).
• Security & privacy in IoT deployments.

🔧 Practical Tasks:

• IoT Weather Station with cloud data logging.
• Remote appliance control via smartphone.
• Raspberry Pi Live Camera Stream.
• Cloud dashboard for multiple sensors.

🎯 Learning Outcome:

Students learn advanced IoT concepts, cloud integration, and real-world scalable IoT solutions using Raspberry Pi.

✅ Now your syllabus is compressed + upgraded into 5 modules:

• Robotics & Arduino Foundations
• Robot Development + IoT Integration
• Capstone Project
• IoT with Raspberry Pi (Basics)
• Advanced Raspberry Pi IoT + Cloud