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一种用于人机交互研究的开源可重现国际象棋机器人。

An open-source reproducible chess robot for human-robot interaction research.

作者信息

Zhang Renchi, de Winter Joost, Dodou Dimitra, Seyffert Harleigh, Eisma Yke Bauke

机构信息

Faculty of Mechanical Engineering, Delft University of Technology, Delft, Netherlands.

出版信息

Front Robot AI. 2025 Apr 16;12:1436674. doi: 10.3389/frobt.2025.1436674. eCollection 2025.

Abstract

Recent advancements in AI have accelerated the evolution of versatile robot designs. Chess provides a standardized environment for evaluating the impact of robot behavior on human behavior. This article presents an open-source chess robot for human-robot interaction research, specifically focusing on verbal and non-verbal interactions. The OpenChessRobot recognizes chess pieces using computer vision, executes moves, and interacts with the human player through voice and robotic gestures. We detail the software design, provide quantitative evaluations of the efficacy of the robot, and offer a guide for its reproducibility. An online survey examining people's views of the robot in three possible scenarios was conducted with 597 participants. The robot received the highest ratings in the robotics education and the chess coach scenarios, while the home entertainment scenario received the lowest scores. The code is accessible on GitHub: https://github.com/renchizhhhh/OpenChessRobot.

摘要

人工智能的最新进展加速了多功能机器人设计的发展。国际象棋为评估机器人行为对人类行为的影响提供了一个标准化环境。本文介绍了一款用于人机交互研究的开源国际象棋机器人,特别关注言语和非言语交互。OpenChessRobot使用计算机视觉识别棋子,执行走法,并通过语音和机器人手势与人类玩家进行交互。我们详细介绍了软件设计,对机器人的功效进行了定量评估,并提供了其可重复性指南。对597名参与者进行了一项在线调查,考察了人们在三种可能场景下对该机器人的看法。在机器人教育和国际象棋教练场景中,该机器人获得了最高评分,而家庭娱乐场景得分最低。代码可在GitHub上获取:https://github.com/renchizhhhh/OpenChessRobot

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09bb/12040702/a532522ddad7/frobt-12-1436674-g001.jpg

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