6 citations · 6 across the 5 of their papers we have counts for
5 papers
Meta-Adaptive Beam Search Planning for Transformer-Based Reinforcement Learning Control of UAVs with Overhead Manipulators under Flight Disturbances
Hazim Alzorgan, Sayed Pedram Haeri Boroujeni, Abolfazl Razi
Drones equipped with overhead manipulators offer unique capabilities for inspection, maintenance, and contact-based interaction. However, the motion of the drone and its manipulato…
All You Need for Object Detection: From Pixels, Points, and Prompts to Next-Gen Fusion and Multimodal LLMs/VLMs in Autonomous Vehicles
Sayed Pedram Haeri Boroujeni, Niloufar Mehrabi, Hazim Alzorgan +2
Autonomous Vehicles (AVs) are transforming the future of transportation through advances in intelligent perception, decision-making, and control systems. However, their success is…
Monte Carlo Beam Search for Actor-Critic Reinforcement Learning in Continuous Control
Hazim Alzorgan, Abolfazl Razi
Actor-critic methods, like Twin Delayed Deep Deterministic Policy Gradient (TD3), depend on basic noise-based exploration, which can result in less than optimal policy convergence.…
Enhanced Cooperative Perception for Autonomous Vehicles Using Imperfect Communication
Ahmad Sarlak, Hazim Alzorgan, Sayed Pedram Haeri Boroujeni +2
Sharing and joint processing of camera feeds and sensor measurements, known as Cooperative Perception (CP), has emerged as a new technique to achieve higher perception qualities. C…
Actuator Trajectory Planning for UAVs with Overhead Manipulator using Reinforcement Learning
Hazim Alzorgan, Abolfazl Razi, Ata Jahangir Moshayedi
In this paper, we investigate the operation of an aerial manipulator system, namely an Unmanned Aerial Vehicle (UAV) equipped with a controllable arm with two degrees of freedom to…