Amr M. Elsayed
Papers
2
Total Citations
16
H-Index
2
About
Amr M. Elsayed is a rising researcher in soft robotics and intelligent manipulation, with a focus on enhancing robotic dexterity and sensory feedback for delicate tasks. His work centers on two key areas: adaptive grasping through variable-stiffness grippers and vision-based tactile sensing. In his 2024 paper, "A novel approach to enhancing smart stiffness of soft robotic gripper fingers for wider grasping capability," Elsayed introduced a hybrid mechanism combining cable-driven under-actuation with particle and layer jamming, enabling soft grippers to dynamically adjust stiffness for stable, versatile grasping. This work has already garnered 10 citations, signaling its impact on the field of adaptive manipulation. Building on this, his 2025 study, "A novel opto-tactile sensing approach to enhance the handling of soft fruit," integrates DIGIT tactile sensors with a Robotiq 2F-85 gripper and UR10e arm, achieving precise detection of subtle deformations in fragile objects like strawberries and rubber balls. With 6 citations to date, this vision-based pipeline demonstrates a breakthrough in non-destructive handling for agricultural and food-processing applications. Elsayed’s contributions are paving the way for safer, more intelligent robotic interactions with delicate materials, marking him as a promising innovator in soft robotics and tactile perception.
Research Focus
Key Achievements
Top Papers
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