The importance of ground Mobile Robots (MRs) and Unmanned Aerial Vehicles (UAVs) within the research community, industry, and society is growing fast. Many of these agents are nowadays equipped with communication systems that are, in some cases, essential to successfully achieve certain tasks. In this context, we have begun to witness the development of a new interdisciplinary research field at the intersection of robotics and communications. This research field has been boosted by the intention of integrating UAVs within the 5G and 6G communication networks. This research will undoubtedly lead to many important applications in the near future. Nevertheless, one of the main obstacles to the development of this research area is that most researchers address these problems by oversimplifying either the robotics or the communications aspect. This impedes the ability of reaching the full potential of this new interdisciplinary research area. In this tutorial, we present some of the modelling tools necessary to address problems involving both robotics and communication from an interdisciplinary perspective. As an illustrative example of such problems, we focus in this tutorial on the issue of communication-aware trajectory planning.

翻译：地面移动机器人（MRs）与无人机（UAVs）在研究界、工业界及社会中的重要性正快速增长。如今，许多此类智能体配备了通信系统，其有时对成功完成特定任务至关重要。在此背景下，一个融合机器人学与通信学的新兴跨学科研究领域已初现端倪。该领域因将无人机集成至5G与6G通信网络的愿景而获得显著推动，且必将催生众多关键应用。然而，当前该研究领域的主要障碍在于：多数研究者倾向于过度简化机器人学或通信学的某一方，这制约了该跨学科领域潜能的充分发挥。在本教程中，我们介绍了从跨学科视角解决涉及机器人学与通信学问题所需的建模工具。作为此类问题的典型示例，本教程重点探讨了通信感知轨迹规划课题。