4 papers
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…
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…
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…
Learning Skateboarding for Humanoid Robots through Massively Parallel Reinforcement Learning
William Thibault, Vidyasagar Rajendran, William Melek +1
Learning-based methods have proven useful at generating complex motions for robots, including humanoids. Reinforcement learning (RL) has been used to learn locomotion policies, som…