Natural Language Processing in Robotics: Leveraging Python for Human-Robot Interaction
Abstract: This paper explores the application of Natural Language Processing NLP in robotics, specifically focusing on how Python can enhance human-robot interactions. The research discusses key NLP techniques such as syntax analysis, sentiment analysis, and intent recognition, highlighting the importance of Python libraries like SpaCy and NLTK. Findings indicate that effective NLP applications improve communication between humans and robots, expanding their usability in sectors such as healthcare, education, and customer service. The study underscores NLPs potential to transform human-robot interactions, making robots more responsive and efficient.
Keywords: Natural language Processing, NLP, Artificial Intelligence, AI, robotic system, communication, human language, Python, Human-robot Interaction, HRI
How to Cite?: Akash Arun Kumar Soumya, "Natural Language Processing in Robotics: Leveraging Python for Human-Robot Interaction", Volume 13 Issue 11, November 2024, International Journal of Science and Research (IJSR), Pages: 100-102, https://www.ijsr.net/getabstract.php?paperid=SR241021044213, DOI: https://dx.doi.org/10.21275/SR241021044213