Integrating augmented reality, gesture recognition, and NLP for enhancing underwater human-robot interaction

Durga Deepak Valluri *

Independent Researcher, Old Orchard Beach, ME.
 
Review
International Journal of Science and Research Archive, 2024, 11(02), 956–968.
Article DOI: 10.30574/ijsra.2024.11.2.0509
Publication history: 
Received on 18 February 2024; revised on 25 March 2024; accepted on 28 March 2024
 
Abstract: 
This paper presents an in-depth exploration into the integration of augmented reality (AR), gesture recognition, and natural language processing (NLP) to enhance human-robot interaction (HRI) within the context of underwater robotics. It highlights the significant potential these technologies hold in addressing the unique challenges faced in underwater environments, such as limited visibility, complex navigation, and the need for precise, intuitive communication between divers and robots. By reviewing current technological advancements and applications, the study underscores the critical role of AR in providing real-time visual feedback, gesture recognition in enabling more natural control mechanisms, and NLP in facilitating voice-driven commands and interactions. The research further discusses the development of a conceptual framework for an AR-based intuitive interface that synergizes gesture recognition and NLP, aiming to revolutionize underwater HRI by making it more efficient, safe, and user-friendly. Through this investigation, the paper seeks to contribute to the advancement of underwater robotics, proposing innovative solutions that could significantly improve human-robot collaboration in challenging aquatic missions.
 
Keywords: 
Augmented Reality; Natural Language Processing; Human-Robot Interaction; Underwater Robotics
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0