For hurdle detector using arduino and LM35
- 1. Introduction to the Obstacle Detecting Robot This obstacle detecting robot uses Arduino, an L289N motor driver, and parallel connections to control four motors. It employs an ultrasonic sensor and servo motor to detect and measure the distance to nearby objects.
- 2. Importance of Obstacle Detection 1 Safety Accurate obstacle detection is crucial for ensuring the safety of people, equipment, and the environment in dynamic situations. 2 Efficiency Obstacle detection allows systems to navigate and maneuver more efficiently, optimizing routes and reducing delays. 3 Autonomy Effective obstacle detection is a key enabler for autonomous systems, allowing them to perceive and respond to their surroundings.
- 3. Applications of Obstacle Detection Autonomous Vehicles Enabling safe navigation and collision avoidance for self-driving cars. Robotics Allowing robots to navigate and manipulate objects in complex environments. Drones Enabling obstacle detection and avoidance for unmanned aerial vehicles. Industrial Automation Enhancing safety and efficiency in factory and warehouse settings.
- 4. Arduino and L298N Motor Driver The Arduino board acts as the brain of the robot, communicating with the L289N motor driver to precisely control the four motors. This powerful combination allows the robot to navigate and respond to its environment.
- 5. Ultrasonic Sensor and Servo Motor 1 Ultrasonic Sensor The ultrasonic sensor detects objects within a specified range, providing crucial information about the robot's surroundings. 2 Servo Motor The servo motor rotates the ultrasonic sensor, allowing the robot to scan its environment and identify the direction with the greatest distance.
- 6. Circuit Diagram: Bringing It All Together Ultrasonic Sensor Trig Pin at A0, Echo Pin at A1 Servo Motor Connected to Digital Pin 11 Motor Driver (L289N) EN1=6, EN2=7, EN3=8, EN4=9
- 7. Object Detection and Distance Measurement Object Detection The robot uses the ultrasonic sensor to detect the presence of objects in its path. Distance Measurement By measuring the time it takes for the ultrasonic waves to bounce back, the robot can determine the distance to the nearest object. Reaction This information allows the robot to make informed decisions about its movement and navigation.
- 9. Rotating Left and Right to Find Greater Distance Scan Left The robot rotates the ultrasonic sensor to the left, measuring the distance to any objects in that direction. Scan Right The robot then rotates the ultrasonic sensor to the right, measuring the distance to objects in that direction. Analyze By comparing the distances, the robot can determine the direction with the greater clearance.
- 10. Turning to the Side with Greater Distance 1 Identify Direction The robot analyzes the distance data and identifies the direction with the greater clearance. 2 Turn Accordingly The robot then turns its body to align with the direction that has the most space, allowing it to safely navigate around the obstacle. 3 Repeat Process As the robot moves, it continuously scans its surroundings and makes adjustments to its path, ensuring it avoids all obstacles.
- 11. Conclusion and Demonstration Conclusion This obstacle detecting robot showcases the power of combining Arduino, sensors, and intelligent software to create a responsive and adaptable navigation system. Demonstration See the robot in action as it seamlessly navigates through its environment, detecting and avoiding obstacles with precision and agility.