Majid Moghadam

Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment

Ali Alizadeh, Majid Moghadam, Yunus Bicer et al. · 2019 · 108 citations

Artificial Intelligence, Engineering, Deep Reinforcement +18

Vision-based UAV Guidance for Autonomous Landing with Deep Neural Networks

Yunus Bicer, Majid Moghadam, Cagatay Sahin et al. · AIAA Scitech 2019 Forum · 2019 · 26 citations

Machine Vision, Aerial Robotics, Vision-based Uav Guidance +9

Dynamical modeling of manipulation process in Trolling-Mode AFM

Seyede Zahra Mohammadi, Majid Moghadam, Hossein Nejat Pishkenari · Ultramicroscopy · 2018 · 20 citations

Engineering, Command And Control, Manipulation Process +4

A Deep Reinforcement Learning Approach for Long-term Short-term Planning on Frenet Frame

Majid Moghadam, Ali Alizadeh, Engin Tekin et al. · 2021 · 18 citations

Artificial Intelligence, Engineering, Machine Learning +23

VirSense: a novel haptic device with fixed-base motors and a gravity compensation system

Ahmad Mashayekhi, Ali Nahvi, Mojtaba Yazdani et al. · Industrial Robot the international journal of robotics research and application · 2014 · 16 citations

Robot Kinematics, Haptic Feedback, Robotic Systems +21