The Baxter robotic system is an extremely sophisticated piece of machinery, equipped with a myriad of sensors and features. As of yet, very little research has been accomplished utilizing Baxter by students or faculty in the Department of Electrical and Computer Engineering at the University of Wyoming. This project is a base that will enable future employment of Baxter for more intricate and advanced research topics. This project was derived to showcase a large portion of Baxter's functionality in an easily digestible and potentially expandable format. It will display a convenient form of user interaction (voice commands), utilization of computer vision (detecting chess board and pieces), and safe and precise physical interactions with or near humans (moving chess pieces).The goal of this project is to enable the Baxter robotic system to move chess pieces on a chess board based on user input in the form of voice commands. This can be broken up into four main parts: physical movement of Baxter's appendages, computer vision to locate the board and chess pieces, voice recognition for the necessary set of commands, and internal chess board state information and chess logic.


    Access

    Download


    Export, share and cite



    Title :

    Verbal Chess using Computer Vision with the Baxter Research Robot



    Publication date :

    2018-04-28


    Remarks:

    Honors Theses AY 17/18


    Type of media :

    Theses


    Type of material :

    Electronic Resource


    Language :

    Unknown , English



    Classification :

    DDC:    629



    The Chess Robot ; Schackroboten

    Seyed Farshchi, Ramin | BASE | 2015

    Free access

    Test automation based in computer chess principles

    Tatar,M. / QTronic,DE | Automotive engineering | 2009


    Kinematics modeling and experimental verification of baxter robot

    Ju, Zhangfeng / Yang, Chenguang / Ma, Hongbin | IEEE | 2014


    ChESS – Quick and robust detection of chess-board features

    Bennett, S. / Lasenby, J. | British Library Online Contents | 2014


    Motion Planning and Object Grasping of Baxter Robot with Bionic Hand

    Fei, Xinyi / Chen, Ling / Xu, Yulin et al. | Springer Verlag | 2017