This article provides insights into the feasibility study of the IP500® standard for use in robotics applications, specifically with the intent to utilize the CNX 200 module. The CNX 200 is a true dual-band module that enables a robust, reliable, and stable wireless connection. An articulated robot arm with six joints, designed using AI-based generative techniques, will serve as the reference product. Given that the robot is designed through generative methods, it is crucial to minimize any cabling. Therefore, the primary objective is to maintain only the power connections for the drivers, ensuring that all other communications and signals are transmitted via the wireless connection.
Low Earth Orbit (LEO) satellite networks such as Starlink can provide broadband connectivity in sparsely populated regions, including those located in arctic and subarctic regions. However, only satellites in a subset of inclination planes can serve these northern regions. In order to evaluate Starlink connectivity in these geographically extreme regions, we perform a drive test across the arctic circle measuring Starlink and cellular connectivity. We analyze the results with regards to Starlink throughput characteristics including the effects of the 15 second reconfiguration interval, and compare the throughput and connectivity. Starlink generally provide better throughput, with around 10x better median throughput than our comparison cellular network. However, the low tail of the distribution is less impressive with more frequent connectivity losses. Our results also show that the combination of Starlink and cellular has the potential to provide considerable gains in aggregated connection reliability and tail throughput. We additionally discuss policy implications relating to state subsidy policies designed to ensure that the whole population has access to broadband connectivity.
Determining the position of a User Terminal (UT) with a high degree of accuracy is crucial for enabling a plethora of emerging applications, such as immersive remote presence, holographic teleportation, connected robotics, augmented reality (AR). Such accuracy will require the incorporation of Terahertz (THz) frequency bands into 6G mobile networks. In this context, we propose an approach which combines the Angle of Departure (AoD) technique with THz localization for localizing UTs in 6G mobile networks. The simulation environment is set up by using NYUSIM 4.0. Results are expressed in terms of localization errors, and show that the mean localization error is very small, indicating that the estimated positions from the simulation is close to the real positions for a given trajectory.
Smart lighting systems have become indispensable in contemporary buildings, yet their configuration remains a laborious and time-consuming manual process, particularly in large spaces. As these systems grow increasingly vital, the need for efficient and automated configuration methods becomes clear. This study introduces a novel approach to streamline the smart lighting systems configuration process by using the Received Signal Strength Indicator (RSSI) data broadcasted by the luminaires via Bluetooth Low Energy (BLE), along with illuminance measurements from their visible light sensors to automate luminaire localization. An iterative localization process is proposed, based on a path loss propagation model for distance estimation, an adapted multilateration algorithm using RSSI measurements, and the estimation of proximity relationships among luminaires using illuminance measurements. Through real-world experiments, our approach showcases the potential for substantial time savings during commissioning, achieving a success rate exceeding 90% in accurately positioning luminaires.
