Vision-Based Entity Chinese Chess Playing Robot Design and Realization

Wang, Xiangwei; Chen, Qijun

doi:10.1007/978-3-319-22873-0_30

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [15,16], the researchers used on-board magnetic sensors to detect the movement of the pieces, and a fixed position for the board relative to the robot in order to ease the manipulation [17][18][19]. Other works used 2D and depth cameras to follow the development of the game [20][21][22][23][24], while in the investigation carried out in [25], depth cameras were used to detect the occupancy of the board squares and compare the current state with the previous states.…”

Section: Introductionmentioning

confidence: 99%

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

2019

View full text Add to dashboard Cite

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 University of Roskilde). Using the software Solidworks, a gripper with 4 joints was designed. An artificial vision system was developed for detecting the corners of the squares on a chessboard and performing image segmentation. Then, an image recognition model was trained using convolutional neural networks to detect the movements of pieces on the board. An image-based visual servoing system was designed using the Kanade–Lucas–Tomasi method, in order to locate the manipulator. Additionally, an Arduino development board was programmed to control and receive information from the robotic arm using Gcode commands. Results show that with the Stockfish chess game engine, the system is able to make game decisions and manipulate the pieces on the board. In this way, it was possible to implement a didactic robotic arm as a relevant application in data processing and decision-making for programmable automatons.

show abstract