Autonomous Sensing UAV for Accurate Multi-User Identification and Localization in Cellular Networks

This paper presents an autonomous sensing frame- work for identifying and localizing multiple users in Fifth Generation (5G) networks using an Unmanned Aerial Vehicle (UAV) that is not part of the serving access network. Unlike conventional aerial serving nodes, the proposed UAV operates passively and is dedicated solely to sensing. It captures Uplink (UL) Sounding Reference Signals (SRS), and requires virtually no coordination with the network infrastructure. A complete signal processing chain is proposed and developed, encompassing synchronization, user identification, and localization, all executed onboard UAV during flight. The system autonomously plans and adapts its mission workflow to estimate multiple user positions within a single deployment, integrating flight control with real-time sensing. Extensive simulations and a full-scale low- altitude experimental campaign validate the approach, showing localization errors below 3 m in rural field tests and below 8 m in urban simulation scenarios, while reliably identifying each user. The results confirm the feasibility of infrastructure-independent sensing UAVs as a core element of the emerging Low Altitude Economy (LAE), supporting situational awareness and rapid deployment in emergency or connectivity-limited environments.

Robot voice a voice controlled robot using arduino

Robotic assistants reduce the manual efforts being put in by humans in their day-to-day tasks. In this paper, we develop a voice-controlled personal assistant robot. The robot takes the human voice commands by its own built-in microphone. This robot not only takes the commands and executes them but also acknowledges them through speech output. This robot can perform different movements, turns, wakeup/shutdown operations, relocate an object from one place to another, and can also develop a conversation with humans. The voice commands are processed in real time using an offline server. The speech signal commands are directly communicated to the server using a USB cable. The personal assistant robot is developed on a microcontroller-based platform. Performance evaluation is carried out with encouraging results of the initial experiments. Possible improvements for applications in homes, hospitals, car systems, and industries are also discussed.