V.I.C.T.O.R represents a new milestone in human-robot interaction, demonstrating the potential for intuitive and sophisticated interactions between humans and machines through the medium of a classic strategic board game. This research project aims to showcase the efficacy and adaptability of our integrated system, which intelligently perceives the chessboard, interprets the game state, calculates optimal moves, and physically executes those moves using advanced robotic manipulation.
Through this poster, we delve into the technological innovations behind V.I.C.T.O.R, detailing the various components that make up this revolutionary chess-playing robot. We will discuss the design of the computer vision system, which accurately maps out the chessboard and identifies each piece, populating a matrix that serves as the foundation for all subsequent game analysis. Furthermore, we will explore the integration of the powerful Stockfish chess engine, which processes the game state and generates strategic moves to challenge human players. Finally, we will examine the precise mechanical arm that brings V.I.C.T.O.R's calculated moves to life, physically moving the chess pieces and enabling a truly immersive and interactive gaming experience.
Student Scholar Symposium & Faculty Research Showcase (University of West Florida, Pensacola, Florida, 04/20/2023)
Contributors
Mohamed A Khabou (Faculty Mentor)
Publisher
University of West Florida Libraries; Argo Scholar Commons
Format
link and pdf
Copyright
Permission granted to the University of West Florida Libraries by the author to digitize and/or display this information for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires the permission of the copyright holder.
Identifiers
99380476496006600
Academic Unit
2023 Student Scholars Symposium and Faculty Research Showcase; Dr. Muhammad Harunur Rashid Department of Electrical and Computer Engineering; Office of Undergraduate Research
Language
English
V.I.C.T.O.R.
Design and Implementation of a Robotic Chess Arm with Object Detection AI