The Complete Guide to Basic Robotics: Sensors, Motors, Microcontrollers, and Arduino Programming
Basic Robotics
1. Introduction
Robotics is an interdisciplinary field that combines mechanical engineering, electronics, and computer science to design, build, and program robots. In the modern era, robots have been used in various sectors such as industry, agriculture, medicine, the military, and even households.
Basic robotics studies the foundations of robotic systems, from physical components such as sensors and actuators, to programming logic and algorithms that enable robots to operate autonomously or semi-automatically.
2. Robot Components: Sensors, Motors, and Microcontrollers
To build a robot, we must understand three main components:
2.1 Sensors
Sensors are the part of a robot that receives information from its environment. Without sensors, the robot would not be able to respond to the outside world.
Types of sensors:
Distance Sensors (Ultrasonic, Infrared, LIDAR):
- Used to detect objects around the robot.
- Ultrasonic sensors such as the HC-SR04 measure distance based on the reflection of sound waves.
- Infrared is often used for line or edge detection.
Color and Light Sensors:
- Used in line follower robots to follow a specific colored line.
- Examples: TCS3200, LDR.
- Useful for robotic applications in agriculture or smart spaces.
- Examples: DHT11, DHT22.
- Inertial Measurement Units (IMUs) such as the MPU6050 are used to detect orientation, rotation, and acceleration.
- To detect whether the robot is touching another object or experiencing a collision.
- Used to drive wheels or other mechanical parts.
- Easy to control and widely available.
- Provide precise positional control.
- Often used in humanoid robots or robotic arms.
- Move in small, precise steps.
- Suitable for positional control, such as in 3D printers or CNC machines.
- Very popular among beginners.
- Easy to use and has extensive documentation.
- More like a mini computer.
- Can run an operating system and is better suited for complex tasks.
- Microcontrollers with built-in Wi-Fi/Bluetooth.
- Suitable for IoT-based robots.
3. Introduction to Robot Programming with Arduino or ROS
- Read input from sensors
- Control motors and LEDs
- Implement obstacle avoidance logic
- Send and receive data via serial communication
- Modular and Distributed: Robot components can be developed as communicating nodes.
- Extensive Library: Numerous packages for navigation, image processing, SLAM, and more are available.
- Gazebo Simulation: ROS integrates with simulators like Gazebo for virtual testing.
- Node A reads data from a proximity sensor.
- Node B controls a motor based on data from Node A.
- Communication between nodes uses a publish-subscribe protocol.
4. Navigation and Obstacle Avoidance Algorithms
- Uses IR sensors to detect black lines on a white surface.
- If the left sensor detects a line, the robot turns left, and vice versa.
- Suitable for robots with a mapping system (SLAM).
- The robot calculates the shortest path from the current position to the destination.
5. Examples of Simple Robot Projects
- 2 DC motors
- IR Array Sensor (3 or 5 sensors)
- Arduino UNO
- L298N motor driver
- Robot frame and wheels
- The sensors read the black line.
- The robot moves along the line using simple if-else logic.
- HC-SR04 Ultrasonic Sensor
- DC motor and motor driver
- Arduino UNO
- Battery and robot frame
- Read the distance from the sensor.
- If it is too close to an object, the robot backs away and turns.
- If there are no obstacles, the robot moves forward.
- 4-6 servo motors
- Arduino Uno
- Potentiometer (for manual control) or joystick
- The robot arm can be used to pick up and move objects.
- 5.4 Remote Control Robot (Bluetooth Control Robot)
- HC-05 Bluetooth Module
- DC Motor
- Arduino Uno
- Android Application (such as Bluetooth RC Controller)
- The robot is controlled via smartphone via Bluetooth commands.
- 5.5 IoT Robot Monitoring (ESP32 + Sensors)
- ESP32
- Temperature and humidity sensor (DHT11)
- IoT Platform such as Blynk or Thingspeak
- The robot sends sensor data to the internet and can be monitored in real time.
6. Conclusion
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