Ahmad Shah Idil
Papers
1
Total Citations
40
H-Index
1
About
Ahmad Shah Idil is a robotics researcher whose work centers on tactile sensing for dexterous manipulation, with a particular focus on prosthetic and robotic hands. His most notable contribution is the development of the PapillArray sensor, an incipient slip sensor designed to enable more natural and adaptive grasping in artificial hands. The foundational paper on this sensor, published in 2017, has garnered 40 citations, establishing Idil as a key figure in the field of tactile feedback for robotics. By addressing the challenge of detecting early slip events—a critical capability for stable object handling—Idil’s work bridges the gap between human-like touch and machine precision. His research has direct implications for improving the functionality of prosthetic limbs and enhancing the autonomy of robotic manipulators in unstructured environments. Idil’s contributions are particularly valued for their practical design and validation, offering a robust solution that moves beyond theoretical models. For students and researchers in robotics and prosthetics, his work represents a significant step toward more intuitive and reliable human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1