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Computer Science and Education in Computer Science. 20th EAI International Conference, CSECS 2024, Sofia, Bulgaria, June 28–30, 2024, Proceedings

Research Article

Enabling Autonomy Through Voice Control: AI-Assisted Mobile Platform

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  • @INPROCEEDINGS{10.1007/978-3-031-84312-9_3,
        author={Ivelina Balcheva and Yassen Gorbounov},
        title={Enabling Autonomy Through Voice Control: AI-Assisted Mobile Platform},
        proceedings={Computer Science and Education in Computer Science. 20th EAI International Conference, CSECS 2024, Sofia, Bulgaria, June 28--30, 2024, Proceedings},
        proceedings_a={CSECS},
        year={2025},
        month={3},
        keywords={Autonomous Platform Artificial Intelligence Human-Machine Interface Voice Control Machine Learning},
        doi={10.1007/978-3-031-84312-9_3}
    }
    
  • Ivelina Balcheva
    Yassen Gorbounov
    Year: 2025
    Enabling Autonomy Through Voice Control: AI-Assisted Mobile Platform
    CSECS
    Springer
    DOI: 10.1007/978-3-031-84312-9_3
Ivelina Balcheva,*, Yassen Gorbounov
    *Contact email: ivab1414@gmail.com

    Abstract

    The rapid development of the technological sector and the need to automate a wide range of human-aiding activities defines the development and research of autonomous mobile platforms as an increasingly urgent problem. At the same time, artificial intelligence plays the role of an innovative catalyst that increases the functionality, efficiency and convenience of mobile platforms, making them more intelligent and adaptive. The present paper focuses on the study of an autonomous mobile platform that uses voice control and artificial intelligence techniques for effective object recognition in the environment. This platform aims to improve the functionality of robotic systems, providing a more intuitive way to communicate and control. The research combines theoretical analysis, simulation modeling, software algorithm development, and experimental testing. The development process includes studying existing voice recognition and artificial intelligence methods, as well as their applications in the field of autonomous systems. Improving human-machine communication and decision-making processes facilitates the implementation of voice-assisted control. The proposed approach can find application in the improvement of robotic home assistants, in the control of mobile robots in dangerous or hard-to-reach environments, in the construction of remote laboratories, as well as in a number of other fields of technology.

    Keywords
    Autonomous Platform Artificial Intelligence Human-Machine Interface Voice Control Machine Learning
    Published
    2025-03-14
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-84312-9_3
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