Optimizing Robotic Interaction and Decision Making Using Advanced NLP and AI Technologies

Abstract

Background: Robotic assistants have progressed from essential, repetitive duties to sophisticated interactions requiring cognitive talents as technology advances. The interaction of Natural Language Processing (NLP) with Artificial Intelligence (AI) has become critical; consequently, establishing advanced robotic capabilities requires a more comprehensive and integrated approach. Objective: This article aims to explain how integrating NLP and AI into robotic assistants improves functionality, HRI, and applicability in various practical domains without focusing on ethics. Methods: NLP, AI, robotic assistant literature and case studies were reviewed and meta-analyzed. Quantitative investigations using tests and simulations examined robotic assistants' technical advancements and efficacy using sophisticated NLP and AI technologies. Results: Advanced NLP and AI integration improved robotic assistant comprehension, context-aware discussions, and autonomous decision-making. Improved HRI and capacity to complete complex jobs and make independent judgments in healthcare, manufacturing, and customer service. Conclusion: Combining NLP with AI allows robotic assistants to do more complicated, contextually aware activities, expanding their usefulness across many disciplines. While acknowledging the many advances, continual study and investigation are essential to navigate robotic helper technology and its many uses.

Keywords

• robotic assistants
• natural language processing (nlp)
• artificial intelligence (ai)
• human-robot interaction (hri)
• meta-analysis
• autonomous decision-making
• context-aware conversation
• cognitive capabilities
• advanced functionality
• technological enhancements