Natural Language Processing for Human-Robot Interaction: A Survey
Abstract
In recent years, natural language processing (NLP) has played a pivotal role in advancing human-robot interaction (HRI). This survey paper provides a comprehensive overview of the state-of-the-art techniques, challenges, and emerging trends in the integration of NLP with robotics to enable more intuitive and effective communication between humans and robots. We categorize and analyze various aspects of NLP in HRI, including speech recognition, language understanding, dialogue management, and generation. Moreover, we discuss the importance of context and sentiment analysis in improving the quality of interactions. The survey also highlights key applications of NLP in robotics, such as assistive robotics, customer service robots, and educational robots.
This paper reviews and synthesizes the existing literature, encompassing research from both the NLP and robotics communities, and identifies potential directions for future research in this dynamic and interdisciplinary field. By shedding light on the advancements and challenges in NLP for HRI, this survey serves as a valuable resource for researchers, practitioners, and enthusiasts interested in enhancing the communication capabilities of robots.
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