Mohammad Azzeim Mat Jusoh
Papers
2
Total Citations
6
H-Index
2
About
Dr. Mohammad Azzeim Mat Jusoh is a robotics researcher whose work focuses on advancing robotic manipulation and simulation technologies. His key research areas include tactile sensing, robotic grasping, and 3D simulation environments for robot control. Dr. Mat Jusoh’s most cited paper, “Thin Flexible Sheet Handling Using Robotic Hand Equipped with Three-axis Tactile Sensors” (2015, 4 citations), introduces a robotic hand capable of detecting not only grasping force but also slippage during finger motion. This innovation enables complex tasks such as cap twisting, shape exploration, and hardness detection, making it highly applicable to industrial and service robotics. In a second notable work, “Robot arm simulation using 3D software application with 3D modeling, programming and simulation support” (2016, 2 citations), he developed a novel robotics simulator built entirely on Blender 3D and Python, demonstrating smooth six-degree-of-freedom motion for pick-and-place operations. Though early in his career, Dr. Mat Jusoh’s contributions are paving the way for more dexterous and adaptable robotic systems, with potential applications in manufacturing, healthcare, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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