Design and Construction of a Cost-Effective Didactic Robotic Arm for Playing Chess, Using an Artificial Vision System

Design and Construction of a Cost-Effective Didactic Robotic Arm for Playing Chess, Using an Artificial Vision System

This paper presents the design and construction of a robotic arm that plays chess against a human opponent, based on an artificial vision system. The mechanical design was an adaptation of the robotic arm proposed by the rapid prototyping laboratory FabLab RUC (Fabrication Laboratory of the Universi...

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Bibliographic Details
Main Authors: Cristian del Toro, Carlos Robles-Algarín, Omar Rodríguez-Álvarez
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Electronics
Subjects:
artificial vision system
chess playing robotic arm
convolutional neural networks
kanade–lucas–tomasi method
stockfish chess game engine
gcode commands
Online Access:https://www.mdpi.com/2079-9292/8/10/1154

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https://www.mdpi.com/2079-9292/8/10/1154

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