Ahmed Magdy Ahmed Zaki
Papers
10
Total Citations
87
H-Index
5
About
Ahmed Magdy Ahmed Zaki is a researcher specializing in industrial robotics, human-robot collaboration, and intelligent automation, with a particular focus on bridging the gap between advanced robotic systems and the practical demands of small and medium-sized craft enterprises. His most-cited work, a 2020 feasibility study on robotic gluing in the footwear industry (28 citations), exemplifies his commitment to automating traditionally labor-intensive manufacturing processes, a theme he has extended through subsequent research on force-controlled glue deposition and 3D vision-guided trajectory planning. Zaki has made notable contributions to the emerging field of collaborative robotics, exploring brain-computer interfaces for human-cobot interaction (13 citations) and developing real-time platforms that enable safe, flexible human-robot workspaces. His research spans deep learning-based robotic sorting for flexible production, multi-robot system design for pick-and-place applications, and robotic additive manufacturing path planning. A recurring innovation in his recent work is the use of low-cost 3D stereo depth cameras to autonomously reconstruct digital models and generate contact-based trajectories, reducing setup time in highly customized production environments. With over 80 cumulative citations, Zaki's work is shaping the future of intelligent, adaptable manufacturing automation.
Research Focus
Key Achievements
Top Papers
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- 5Deep learning-based robotic sorter for flexible production7 citations · 2023
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- 7A path planning method for robotic Additive Manufacturing4 citations · 2021
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