Khaled Elgeneidy
University of Lincoln, Engineering and Physical Sciences Research Council
Papers
9
Total Citations
135
H-Index
6
About
Khaled Elgeneidy is a robotics researcher whose work spans soft robotics, agricultural automation, collaborative robots, and sensor development. He is best known for his pioneering contributions to soft robotic grippers, particularly his development of 3D-printed Fin Ray effect fingers capable of delicate grasping — work that has garnered over 50 citations and directly addresses the automation challenges facing the agri-food industry. Building on this foundation, Elgeneidy advanced the field further by applying deep learning and finite element analysis to model and predict the complex, non-linear behaviour of soft grippers, earning an additional 40 citations for bridging simulation and real-world control. His agricultural robotics work extends to novel harvesting systems employing laser stem-cutting technology, offering versatile and robust solutions for produce handling. More recently, Elgeneidy has made significant strides in collaborative robotics, developing ensemble and incremental learning methods for real-time payload identification — critical for safe, adaptive human-robot collaboration in Industry 4.0 environments. Complementing these efforts, his research into flexible strain sensors underscores a holistic approach to building robots capable of safe interaction with delicate biological materials. Across his career, Elgeneidy consistently bridges theoretical modelling with practical engineering innovation.
Research Focus
Key Achievements
Top Papers
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- 4Compact Strawberry Harvesting Tube Employing Laser Cutter8 citations · 2022
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- 6Towards an automated masking process: A model-based approach6 citations · 2018
- 7Produce Harvesting by Laser Stem-Cutting5 citations · 2022
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