Ultra-wideband (UWB) technology is a mature technology that contested other wireless technologies in the advent of the IoT but did not achieve the same levels of widespread adoption. In recent years, however, with its potential as a wireless ranging and localization solution, it has regained momentum. Within the robotics field, UWB positioning systems are being increasingly adopted for localizing autonomous ground or aerial robots. In the Industrial IoT (IIoT) domain, its potential for ad-hoc networking and simultaneous positioning is also being explored. This survey overviews the state-of-the-art in UWB networking and localization for robotic and autonomous systems. We also cover novel techniques focusing on more scalable systems, collaborative approaches to localization, ad-hoc networking, and solutions involving machine learning to improve accuracy. This is, to the best of our knowledge, the first survey to put together the robotics and IIoT perspectives and to emphasize novel ranging and positioning modalities. We complete the survey with a discussion on current trends and open research problems.
翻译:超广频系技术是一种成熟的技术,在IoT出现时对其他无线技术提出了质疑,但未能达到同样的广泛采用水平,然而,近年来,它具有无线测距和本地化解决方案的潜力,重新获得了势头;在机器人领域,UWB定位系统正越来越多地被采用,将自主地面机器人或航空机器人本地化;在工业IoT(IIoT)领域,其临时联网和同步定位的潜力也在探索之中。本调查概述了UWB网络的最新水平以及机器人和自主系统的本地化。我们还涵盖了侧重于更可扩展的系统、本地化协作办法、特设网络以及涉及机器学习以提高精度的解决方案的新技术。根据我们的知识,这是将机器人和IIoT观点结合起来的第一次调查,强调新颖的分布和定位模式。我们完成了调查,讨论了当前的趋势和公开研究问题。