水下人机交互与人机集群交互：综述与展望
Underwater Human-Robot and Human-Swarm Interaction: A Review and Perspective
AI总结：
本综述梳理了水下人机交互（UHRI）及水下手势识别（UGR）的最新进展，探讨其在多机器人系统中的应用，提出融合人机自然交互与集群协调能力可提升水下复杂环境作业鲁棒性。
摘要：
当前，自主水下航行器（AUVs）在海底任务中的能力拓展受到越来越多的关注，尤其是整合水下人机交互（UHRI）以实现控制方面。UHRI及其子领域水下手势识别（UGR）在改善潜水员与机器人的通信、助力海洋研究方面发挥着重要作用。本综述梳理了UHRI的最新进展，并探讨了其在多机器人系统中的广阔应用前景。随着UGR的发展，水下机器人获得了与人类潜水员协同作业、提升功能的机遇。人类手势可创造无缝且安全的协作环境，让潜水员与机器人的交互更高效。通过梳理该领域的前沿技术，有望推动水下多机器人系统（UMRS）的发展，将人机交互的自然通信渠道与水下集群的多维度协调能力相结合，从而提升复杂水生环境下的鲁棒性。
英文摘要：
There has been a growing interest in extending the capabilities of autonomous underwater vehicles (AUVs) in subsea missions, particularly in integrating underwater human-robot interaction (UHRI) for control. UHRI and its subfield,underwater gesture recognition (UGR), play a significant role in enhancing diver-robot communication for marine research. This review explores the latest developments in UHRI and examines its promising applications for multi-robot systems. With the developments in UGR, opportunities are presented for underwater robots to work alongside human divers to increase their functionality. Human gestures creates a seamless and safe collaborative environment where divers and robots can interact more efficiently. By highlighting the state-of-the-art in this field, we can potentially encourage advancements in underwater multi-robot system (UMRS) blending the natural communication channels of human-robot interaction with the multi-faceted coordination capabilities of underwater swarms,thus enhancing robustness in complex aquatic environments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
