Atas, MusaDogan, YahyaAtas, Isa2024-12-242024-12-242014978-1-4799-4874-12165-0608https://hdl.handle.net/20.500.12604/575722nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYIn this study, a chess playing robotic arm system which has 5 degree of freedoms is developed. System comprised with various modules such as; main controller, image processing, machine learning, game engine and motion engine of robotic arm. Image processing unit is triggered only whenever opponent starts to move chessman. Meanwhile, images acquired in a specific time intervals are transmitted to the machine learning unit for classification purpose. After the classification process is taken place, opponent valid move is sent to the game engine as an input in order to generate reasonable output. Generated output is forwarded to the motion engine for positioning the robotic arm. It was observed that, developed system provides an efficient, favorable and immersive experience for player.trinfo:eu-repo/semantics/closedAccesshuman computer interactiongame playingimage processingrobotic arm kinematicsartificial neural networkartifical intelligenceConference Object11711174N/AWOS:000356351400272N/A2-s2.0-84903758501