Abstract
This paper presents the design, implementation, and evaluation of an Artificial Intelligence (AI)-Based Rover with a Robotic Arm, powered by Raspberry Pi technology. The integration of AI algorithms with Raspberry Pi provides a versatile platform for developing intelligent robotic systems capable of autonomous navigation and manipulation tasks. The rover's autonomous navigation system utilizes computer vision and machine learning algorithms to perceive its environment, plan optimal paths, and navigate autonomously while avoiding obstacles. Additionally, the inclusion of a robotic arm extends the rover's capabilities, enabling it to perform manipulation tasks with precision and versatility. Key components of the system include Raspberry Pi as the central processing unit, cameras for environmental perception, motors for locomotion and manipulation, and sensors for feedback and environmental monitoring. The integration of these components facilitates seamless communication and coordination, enabling the rover to execute complex tasks autonomously. Experimental results demonstrate the effectiveness of the proposed system in various scenarios, showcasing its ability to navigate challenging environments, avoid obstacles, and manipulate objects with precision. The versatility and scalability of the platform make it suitable for a wide range of applications, including search and rescue missions, environmental monitoring, and industrial automation. Keywords- Robotics, Artificial Intelligence, Raspberry pi, Autonomous Navigation, Machine Learning
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