Papers

9

Total Citations

418

H-Index

7

About

Heba Khamis is a leading researcher in tactile sensing and dexterous robotic manipulation, with a focus on replicating human-like grip control in artificial systems. Her major contributions center on developing innovative tactile sensors—most notably the PapillArray—that can estimate friction, detect incipient slip, and enable real-time grip force adjustment. Her 2018 review on tactile sensors for friction estimation and slip detection has garnered over 220 citations, underscoring its foundational impact in the field. Khamis has also advanced our understanding of human tactile afferents, showing how they encode grip safety before slip occurs across different frictional conditions. Her work bridges neuroscience and robotics, with practical applications in prosthetic hands and industrial manipulators. Among her notable achievements, she designed a fully-instrumented PapillArray sensor that estimates friction in real time, a key step toward truly dexterous robotic manipulation. With over 400 total citations across her most-cited papers, Khamis continues to push the boundaries of tactile sensing, making her a pivotal figure in the quest to give robots a human-like sense of touch.

Research Focus

Key Achievements

7
H-Index
9
Papers
418
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Tactile Sensors for Friction Estimation and Incipient Slip Detection—Toward Dexterous Robotic Manipulation: A Review
222 citations · 2018
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: UNSW Sydney, Western Sydney University, Neuroscience Research Australia

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago