Gantry Robot System Checkers Player

Edward Boris Manurung, None Geofany, None Dedi
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引用次数: 1

Abstract

Technological developments in the field of moving goods are increasing rapidly. Production processes in fields such as the automotive, medical world, and even for household needs use the Pick and Place system for the production process. It has been proven, for a long time, that research has improved the Pick and Place system for many sectors, especially how this process can be combined with AI. Because of this, there has been a lot of research on how to make robots play games with their own brains. For now, most of the game development for AI is board games such as chess, Checkers, Tic Tac Toe, and other board games. Therefore, this paper will explain how to make a robot that can play board games. By implementing the gantry robot system, the robot will be made to play the Checkers game by integrating the robot with the existing AI checker. The concept of this robot is to use Checkers AI and machine integration with a camera where the robot will compete with humans, the camera will detect it from the game board, and then with the learning process from AI, the robot can determine where to move the pieces and it is hoped that the motor will move according to the AI output command of the Checkers Robot. After tha,t the robot will return to its original position and wait for its turn.
龙门机器人系统检查播放器
货物运输领域的技术发展日新月异。汽车、医疗、甚至家庭等领域的生产过程都使用拣选和放置系统进行生产。很长一段时间以来,研究已经证明了许多行业的“挑选和放置”系统,特别是如何将这一过程与人工智能相结合。正因为如此,人们对如何让机器人用自己的大脑玩游戏进行了很多研究。目前,大多数针对AI的游戏开发都是棋盘游戏,如国际象棋、跳棋、井字棋和其他棋盘游戏。因此,本文将解释如何制作一个会玩棋盘游戏的机器人。通过实施龙门架机器人系统,将机器人与现有的人工智能跳棋器集成在一起,使机器人能够玩跳棋游戏。这个机器人的概念是使用跳棋AI和机器集成一个摄像头,在那里机器人将与人类竞争,摄像头将从棋盘上检测到它,然后随着AI的学习过程,机器人可以确定在哪里移动棋子,并希望电机将根据AI的输出命令移动跳棋机器人。之后,机器人将返回到原来的位置,等待轮到它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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