5G Localization

Background

Contemporary robotic systems are typically designed to function within predetermined environments, such as manufacturing plants, where detailed floor plans and predefined paths are readily available in the robot's memory. 

However, in dynamic field robotics applications, where environments are subject to change, the demand for real-time navigation and adaptive mission planning is imperative. While outdoor scenarios, like delivery robotics, often rely on Global Navigation Satellite Systems (GNSS) in conjunction with collision detection systems, indoor operations necessitate detailed floor plans and simultaneous localization and mapping (SLAM)-based navigation. 

Bridging the gap between indoor and outdoor environments poses a significant challenge, as GNSS signals are ineffective indoors, and outdoor navigation lacks the structured guidance provided by indoor floor plans. 

What is FCTLab developing?

Our focus lies in 5G-driven positioning methods tailored for indoor robotic functionalities. FCTLab is exploring innovative approaches for robot localization leveraging the capabilities of 5G communication networks. We are developing robust performance metrics to meticulously assess various localization techniques under scrutiny. Through rigorous experimentation with our Open Air Interface (OAI) based testbed, we aim to validate and refine selected methodologies, ensuring optimal efficacy for indoor robotic applications. 

Motivations

Testbed for Timing Based Technique

Testbed for Angular Based Technique

Use Case Examples