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Obstacle Avoiding Robot

An Obstacle Avoiding Robot is an autonomous mobile system designed to detect and navigate around obstacles in its path. It uses ultrasonic, infrared, or LiDAR sensors to measure distances and adjust movement in real time, ensuring smooth navigation without collisions. This project is widely used in robotics competitions, research, and applications like automated delivery, surveillance, and warehouse automation.

Parts Used:
  1. Chassis Frame – Base platform for mounting components.
  2. Microcontroller – Arduino, Raspberry Pi, or similar for decision-making.
  3. Ultrasonic/Infrared Sensors – Detects objects and measures distance.
  4. DC Motors with Wheels – Enables movement in multiple directions.
  5. Motor Driver Module – Controls motor speed and direction.
  6. Battery Pack – Powers the robot and sensors.
  7. Wiring & Connectors – For electrical connections.

TECHNICAL SUPPORT

Advantages:
  1. Autonomous Navigation – Operates without manual control.
  2. Collision Prevention – Protects the robot and surroundings from damage.
  3. Wide Applications – Useful in research, industry, and service robots.
  4. Scalable – Can be upgraded with AI and computer vision.
  5. Efficient Movement – Saves time by taking the optimal path.