  In the rapidly evolving landscape of human-robot collaboration, effective
communication between humans and robots is crucial for complex task execution.
Traditional request-response systems often lack naturalness and may hinder
efficiency. In this study, we propose a novel approach that employs human-like
conversational interactions for vocal communication between human operators and
robots. The framework emphasizes the establishment of a natural and interactive
dialogue, enabling human operators to engage in vocal conversations with
robots. Through a comparative experiment, we demonstrate the efficacy of our
approach in enhancing task performance and collaboration efficiency. The
robot's ability to engage in meaningful vocal conversations enables it to seek
clarification, provide status updates, and ask for assistance when required,
leading to improved coordination and a smoother workflow. The results indicate
that the adoption of human-like conversational interactions positively
influences the human-robot collaborative dynamic. Human operators find it
easier to convey complex instructions and preferences, fostering a more
productive and satisfying collaboration experience.
