Humans and robots working together in an environment to enhance human performance is the aim of Industry 5.0. Although significant progress in outdoor positioning has been seen, indoor positioning remains a challenge. In this paper, we introduce a new research concept by exploiting the potential of indoor positioning for Industry 5.0. We use Wi-Fi Received Signal Strength Indicator (RSSI) with trilateration using cheap and easily available ESP32 Arduino boards for positioning as well as sending effective route signals to a human and a robot working in a simulated-indoor factory environment in real-time. We utilized machine learning models to detect safe closeness between two co-workers (a human subject and a robot). Experimental data and analysis show an average deviation of less than 1m from the actual distance while the targets are mobile or stationary.
翻译:人类与机器人在同一生产环境中相互协作,提高人类绩效是工业5.0的目标。虽然室外定位技术取得了重大进展,但室内定位依然面临挑战。本文提出一种新的研究思路,利用室内定位技术潜力在工业5.0中应用。我们利用Wi-Fi接收信号强度指示器(RSSI),利用廉价、易得的ESP32 Arduino板进行三点定位,实时为一个人和一个机器人发送有效的路径信号,在模拟室内工厂环境中工作。我们运用机器学习模型检测两个同事之间的安全距离(一名人员和一台机器人)。实验数据及分析表明,当目标移动或静止时,其平均偏差小于1米。