Digital chess board based on array of Hall-Effect sensors

Sušac, Filip; Aleksi, Ivan; Hocenski, Željko

doi:10.23919/mipro.2017.7973572

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…Moreover, in [18], the implementation of collaborative robots for a chess-playing system that was designed to play against a human player or another robot was experimentally evaluated. In order to make the board game design easier and fully independent from lighting conditions, some authors propose using an array of Hall sensors for detecting pieces on the board [19]. It is also important that robots with advanced mimics can transmit non-verbal information to human players, which can be also used in gameplay [20,21].…”

Section: Introductionmentioning

confidence: 99%

Interactive Robot for Playing Russian Checkers

Kopets¹,

Каримов²,

Kolev³

et al. 2020

Robotics

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Human–robot interaction in board games is a rapidly developing field of robotics. This paper presents a robot capable of playing Russian checkers designed for entertaining, training, and research purposes. Its control program is based on a novel unsupervised self-learning algorithm inspired by AlphaZero and represents the first successful attempt of using this approach in the checkers game. The main engineering challenge in mechanics is to develop a board state acquisition system non-sensitive to lighting conditions, which is achieved by rejecting computer vision and utilizing magnetic sensors instead. An original robot face is designed to endow the robot an ability to express its attributed emotional state. Testing the robot at open-air multiday exhibitions shows the robustness of the design to difficult exploitation conditions and the high interest of visitors to the robot.

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Section: Introductionmentioning

confidence: 99%

Interactive Robot for Playing Russian Checkers

Kopets¹,

Каримов²,

Kolev³

et al. 2020

Robotics

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Autonomous Chess Playing Robot

Rath

Mahapatro

Nath

et al. 2019

2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)

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Pick and Place Control of a 3-DOF Robot Manipulator Based on Image and Pattern Recognition

Kariuki,

Wanjau,

Muchiri

et al. 2024

Machines

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Board games like chess serve as an excellent testbed for human–robot interactions, where advancements can lead to broader human–robot cooperation systems. This paper presents a chess-playing robotic system to demonstrate controlled pick and place operations using a 3-DoF manipulator with image and speech recognition. The system identifies chessboard square coordinates through image processing and centroid detection before mapping them onto the physical board. User voice input is processed and transcribed into a string from which the system extracts the current and destination locations of a chess piece with a word error rate of 8.64%. Using an inverse-kinematics algorithm, the system calculates the joint angles needed to position the end effector at the desired coordinates actuating the robot. The developed system was evaluated experimentally on the 3-DoF manipulator with a voice command used to direct the robot movement in grasping a chess piece. Consideration was made involving both the own pieces as well as capturing the opponent’s pieces and moving the captured piece outside the board workspace.

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Digital chess board based on array of Hall-Effect sensors

Cited by 3 publications

References 7 publications

Interactive Robot for Playing Russian Checkers

Interactive Robot for Playing Russian Checkers

Autonomous Chess Playing Robot

Pick and Place Control of a 3-DOF Robot Manipulator Based on Image and Pattern Recognition

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