This project aims to develop a system that enables a robotic arm to play table tennis using artificial intelligence and computer vision techniques. The robotic arm will detect the position and speed of the ball with the help of high-speed cameras and sensors, executing appropriate stroke movements. Control algorithms will be optimized using machine learning and inverse kinematics principles. This project represents an innovative combination of robotics, automation, and AI technologies.
Hasan Emre AYDIN
cd2130a571
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