collaborators

5 papers

cs.RO2026

Hemispherical Angular Power Mapping of Installed mmWave Radar Modules Under Realistic Deployment Constraints

Maaz Qureshi, Mohammad Omid Bagheri, William Melek +1

Characterizing the angular radiation behavior of installed millimeter-wave (mmWave) radar modules is increasingly important in practical sensing platforms, where packaging, mountin…

eess.SP2026

Automated Angular Received-Power Characterization of Embedded mmWave Transmitters Using Geometry-Calibrated Spatial Sampling

Maaz Qureshi, Mohammad Omid Bagheri, Abdelrahman Elbadrawy +2

This paper presents an automated measurement methodology for angular received-power characterization of embedded millimeter-wave transmitters using geometry-calibrated spatial samp…

cs.RO2025

RAPTAR: Radar Radiation Pattern Acquisition through Automated Collaborative Robotics

Maaz Qureshi, Mohammad Omid Bagheri, Abdelrahman Elbadrawy +2

Accurate characterization of modern on-chip antennas remains challenging, as current probe-station techniques offer limited angular coverage, rely on bespoke hardware, and require…

cs.RO2025

CRADMap: Applied Distributed Volumetric Mapping with 5G-Connected Multi-Robots and 4D Radar Perception

Maaz Qureshi, Alexander Werner, Zhenan Liu +3

Sparse and feature SLAM methods provide robust camera pose estimation. However, they often fail to capture the level of detail required for inspection and scene awareness tasks. Co…

cs.RO2025

Human-Robot Collaboration: A Non-Verbal Approach with the NAO Humanoid Robot

Maaz Qureshi, Kerstin Dautenhahn

Humanoid robots, particularly NAO, are gaining prominence for their potential to revolutionize human-robot collaboration, especially in domestic settings like kitchens. Leveraging…