Hassan Elahi

National University of Sciences and Technology

Papers

3

Total Citations

14

H-Index

2

About

Hassan Elahi is a pioneering researcher at the intersection of robotics, tactile sensing, and automation, with a focus on enhancing precision and reliability in surgical and industrial systems. His major contributions include the development of a high-sensitivity, low-cost multi-axis capacitive tactile force sensor for robotic surgical systems, featuring a fully decoupled output for normal and shear forces—a critical advancement for haptic feedback in minimally invasive surgery. This work, published in 2024, has already garnered 10 citations, underscoring its immediate impact. Elahi also advances reliability engineering through surrogate modeling for time-dependent analysis of robotic manipulator trajectories, addressing uncertainties like joint variations and manufacturing tolerances. His 2017 book on integrating robotics and automation for packaging industries demonstrates his commitment to practical, real-world applications, guiding the design of automated sorting and filling systems. With a career spanning sensor design, kinematic reliability, and industrial automation, Elahi’s work is shaping the future of safe, efficient, and intelligent robotic systems, making him a key figure for students and researchers in mechatronics and surgical robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A high sensitivity, low cost and fully decoupled multi-axis capacitive tactile force sensor for robotic surgical systems
10 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: National University of Sciences and Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago