Demo at Nokia/NYU Brooklyn 6G Summit 2025

Date:

Demo topic: Autonomous robotic navigation and source localization via FR3 wireless sensing

Our team presented an autonomous robot capable of detecting the angle of arrival (AoA) of a FR3 wireless transmitter, navigating toward it, and localizing the source through triangulation, all visualized in real time on a LiDAR-generated map. The demo showcased how sensing and wireless intelligence can converge to enable robots that not only communicate but also perceive and interpret their wireless environments. The system integrates spatial signal processing with robotic navigation, demonstrating how 6G technologies could enable devices to sense and adapt to their wireless environments in real time.

Alongside the demo, we showcased posters on efficient signal detection and baseband processing using spatial arrays, including comparisons between traditional implementations and HLS-based hardware kernels for performance optimization.

You can find more details about this work in the Robotic Navigation via 6G Wireless Sensing and AoA Estimation and A Reconfigurable Spatial Array for Spectrally Agile Wireless Processing project pages, or in our Github Repo.

Our Work Album (Click to see all images)