Abstract: This thesis deals with developing an intelligent robotic arm system enhanced with computer vision technology designed to perform tasks accurately and adaptively by recognizing and manipulating objects in real-time. By integrating advanced machine learning algorithms, the system analyzes visual data and controls the robotic arm's movements, enabling precise manipulation of objects.

Robotic  uArm: info here

Supervisor: Adam Novozámský