2023/03/26 by Inoj Neupane, Neupane, Inoj, Belal Alsinglawi +3
Engineering · #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #IoT-based Smart Home Systems #Networking and Internet Architecture (cs.NI) #Radio Wave Propagation Studies #Robotics (cs.RO)
paper · pdf · doi:10.48550/arxiv.2303.14738
openalex publication_date 2023/03/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.