Exploring the Technology behind Obstacle-Avoiding Robots
Keywords:
Arduino, Arduino microcontroller, Infrared sensors, Operational robot, Trajectory planningAbstract
An obstacle-avoiding vehicle using Arduino is a project designed to create a robot capable of navigating its environment without colliding with obstacles. The robot uses sensors, such as ultrasonic or infrared sensors, to detect objects in its path by measuring the distance to nearby objects. These sensors continuously send data to an Arduino microcontroller, which processes the input and makes decisions in real-time. Trajectory planning is a critical aspect of pick-and-place operations performed by robotic manipulators. In this study, we introduce a compact, autonomous, and fully operational robot, referred to as a smart car. This device is designed to detect obstacles in its path, navigate around them, and continue its movement by pre-computing a clear route. To facilitate real-time obstacle avoidance for wheeled robots, ultrasonic sensors have been integrated, enabling the robot to continuously monitor its environment, circumvent obstacles, and advance towards its designated target area. The applications of this model are extensive, including use in vacuum cleaners, navigating concealed pathways, parking systems, automotive assembly, chemical industries, scientific research, emergency rescue operations, and other isolated settings. In this study, similar work from various authors is being reviewed and a literature review on obstacle-avoiding vehicles using Arduino will focus on the use of various sensors, algorithms, and techniques to help vehicles navigate and avoid obstacles.
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