Papers
13
Total Citations
431
H-Index
10
About
Ahmad Abiri is a leading researcher in the field of robotic surgery, with a primary focus on restoring the sense of touch to minimally invasive procedures. His work centers on developing multi-modal haptic feedback systems to address the critical loss of force feedback in robotic surgery, a problem that can lead to excessive tissue damage and suture breakage. Abiri’s major contributions include pioneering artificial palpation techniques that allow surgeons to “feel” tissue stiffness through robotic instruments, and designing innovative warning systems that detect suture failure before it occurs. His most cited work, “Multi-Modal Haptic Feedback for Grip Force Reduction in Robotic Surgery” (122 citations), demonstrates how combining different haptic modalities can significantly reduce grasping forces. He has also conducted influential national studies on the diffusion of robotic technology across surgical specialties. Abiri’s research has led to the development of a tri-axial force sensor system, a first-of-its-kind microfabricated sensor providing tactile feedback in three dimensions. With over 400 total citations across his top ten papers, Abiri’s work is essential reading for anyone interested in the intersection of haptics, robotics, and surgical safety.
Research Focus
Key Achievements
Top Papers
- 1Multi-Modal Haptic Feedback for Grip Force Reduction in Robotic Surgery122 citations · 2019
- 2Artificial palpation in robotic surgery using haptic feedback53 citations · 2018
- 3
- 4Suture Breakage Warning System for Robotic Surgery39 citations · 2018
- 5Visual–perceptual mismatch in robotic surgery34 citations · 2016
- 6Tensile strength and failure load of sutures for robotic surgery34 citations · 2016
- 7Bio-Inspired Haptic Feedback for Artificial Palpation in Robotic Surgery29 citations · 2021
- 8Biaxial sensing suture breakage warning system for robotic surgery25 citations · 2019
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- 10