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.

翻译：在人机协作快速发展的背景下，人类与机器人之间的有效沟通对于复杂任务执行至关重要。传统的请求-响应系统往往缺乏自然性，并可能阻碍效率。在本研究中，我们提出了一种新颖方法，通过类人对话交互实现人类操作员与机器人之间的语音通信。该框架强调建立自然且互动的对话，使人类操作员能够与机器人进行语音交流。通过对比实验，我们证明了该方法在提升任务表现与协作效率方面的有效性。机器人参与有意义的语音对话的能力使其能够在必要时寻求澄清、提供状态更新并请求帮助，从而改善协调性并实现更流畅的工作流程。结果表明，采用类人对话交互对人类-机器人协作动态产生了积极影响。人类操作员更容易传达复杂指令和偏好，从而促进更高效、更令人满意的协作体验。