Design and Implementation of Chinese Chess Based on Manipulator

Wang, Hua; Wu, Xiangcheng; Qian, Ting; Luo, Haishan; Hu, Cong

doi:10.1109/imcec46724.2019.8983963

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…In [12], the authors presented a four degree-of-freedom chess-playing robotic manipulator based on a computer vision chess recognition system, whereas in [13,14], a Baxter robot was used to play chess in unconstrained environments by dynamically responding to changes. Other recent examples are the manipulator for Chinese chess presented in [15], the didactic robotic arm for playing chess using an artificial vision system described in [16], and the Chinese chess robotic system for the elderly using convolutional neural networks shown in [17]. 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.…”

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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