Dialogue Robot

Dialogue robots aim to create natural and effective conversational interactions between humans and robots, focusing on tasks like information retrieval, travel planning, and assistive navigation. Current research emphasizes improving conversational flow through techniques like common ground establishment and turn-taking prediction, often leveraging large language models (LLMs) and multimodal fusion architectures to process both verbal and non-verbal cues. These advancements are significant for enhancing human-robot interaction across various applications, improving accessibility for individuals with disabilities and streamlining customer service interactions.