Marwan Qaid Mohammed

Fraunhofer Institute for Transportation and Infrastructure Systems — Germany

Engineering · Physical Sciences

5h-index261citations15works0.02yr avg
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Research Topics

Robot Manipulation and Learning(7), Soft Robotics and Applications(6), Robotic Mechanisms and Dynamics(4), Reinforcement Learning in Robotics(3), Robotics and Sensor-Based Localization(2)

Publications15 total

Dynamic Modelling and Intelligent Hybrid Optimal Controller of Hybrid Manipulator for Vibration Suppression and Tracking Control
Arabian Journal for Science and Engineering·2023· 5 cited
Developing a Smart Economy Using Statistical Framework-Based Business Models in Smart Cities
Fraunhofer-Publica (Fraunhofer-Gesellschaft)·2023
A Framework for Strategic Planning Adaptation in Smart Cities through Recurrent Neural Networks
Journal of Intelligent Systems and Internet of Things·2023· 2 cited
Review of Learning-Based Robotic Manipulation in Cluttered Environments
Sensors·2022· 35 citedOpen Access
Dynamic model and integrated optimal controller of hybrid arms robot for laser contour machining
Journal of Vibration and Control·2022· 5 cited
Deep Reinforcement Learning-Based Robotic Grasping in Clutter and Occlusion
Sustainability·2021· 14 citedOpen Access
Color Matching Based Approach for Robotic Grasping
2021 International Congress of Advanced Technology and Engineering (ICOTEN)·2021· 4 cited
The Effectiveness of Kinematic Constraints on The Accuracy of Trajectory Profile of Human Walking Using PSPB Technique
arXiv (Cornell University)·2021Open Access
Robust P-H∞ Integrated Controller for Flexible Link Manipulator System in the Presence of Disturbance
Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)·2021· 3 citedOpen Access
Comprehensive Review on Reaching and Grasping of Objects in Robotics
Robotica·2021· 75 cited
Learning Pick to Place Objects using Self-supervised Learning with Minimal Training Resources
International Journal of Advanced Computer Science and Applications·2021· 2 citedOpen Access
Pick and Place Objects in a Cluttered Scene Using Deep Reinforcement Learning
Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University)·2020· 17 cited
Review of Deep Reinforcement Learning-Based Object Grasping: Techniques, Open Challenges, and Recommendations
IEEE Access·2020· 96 citedOpen Access
Smooth Sub-Phases Based Trajectory Planning for Exoskeleton System
International Review of Electrical Engineering (IREE)·2017· 2 cited
Walking Motion Trajectory of Hip Powered Orthotic Device Using Quintic Polynomial Equation
Journal of Telecommunication Electronic and Computer Engineering (JTEC)·2016· 1 cited

Frequent Co-authors

Lee Chung Kwek(7), Shing Chyi Chua(7), Esmail Ali Alandoli(5), Muhammad Fahmi Miskon(4), Arafat Al-Dhaqm(2), Yu Lin(2), Chu Anh My(2), Salem Saleh Bafjaish(2), Saeid Nahavandi(1), Taiseer Abdalla Elfadil Eisa(1), Mohammed Nasser Al‐Mhiqani(1), Abdulalem Ali(1), Mohammed Abaker(1), Abdulaziz Aljaloud(1), Zeyad Ghaleb Al-Mekhlafi(1), Badiea Abdulkarem Mohammed(1), T.S. Lee(1), V. Vijayakumar(1), T. S. Lee(1), Y. T. Loong(1)