Towards seamless human-robot dialogue

Large Language Models (LLMs) have revolutionized technology, significantly advancing fields such as artificial intelligence and robotics. These models, leveraging architectures like Transformers, excel at linguistic tasks including translation, summarization, and question answering. In robotics, LLMs enhance human-machine interaction by enabling robots to process natural language, execute complex commands, and adapt to user needs. This has led to democratized access to robots in various domains, such as healthcare, education, and industry. LLM integration facilitates autonomous decision-making and collaborative robotics, broadening the scope of robotic applications. This work proposes an innovative system where humanoid robots, powered by LLMs, communicate naturally with users, handling both specific movement requests and general inquiries. The goal is to create seamless, intuitive interactions without requiring technical expertise, ultimately enhancing robot usability and accessibility across contexts.