Houssem Jerbi
Papers
4
Total Citations
74
H-Index
4
About
Houssem Jerbi is a robotics researcher whose work spans healthcare robotics, neural network computation, and adaptive control systems. His most impactful contribution, "Applications of Healthcare Robots in Combating the COVID-19 Pandemic" (40 citations), addresses the urgent need for robotic solutions in clinical settings to minimize human contact and surface contamination during the pandemic. Jerbi also advances computational methods with "Towards Higher-Order Zeroing Neural Networks for Calculating Quaternion Matrix Inverse with Application to Robotic Motion Tracking" (16 citations), tackling the complex problem of time-varying quaternion matrix inverses crucial for robotics and computer science. His research on "Fuzzy Luenberger Observer Design for Nonlinear Flexible Joint Robot Manipulator" (11 citations) improves control of flexible joint robots by reducing sensor requirements, while "Hamilton–Jacobi Inequality Adaptive Robust Learning Tracking Controller of Wearable Robotic Knee System" (7 citations) develops advanced controllers for assistive wearable devices, helping disabled individuals move freely. Jerbi’s work demonstrates a clear trajectory from pandemic-response robotics to sophisticated neural network and control theory applications, making significant strides in both theoretical computation and practical robotic assistance.
Research Focus
Key Achievements
Top Papers
- 1Applications of Healthcare Robots in Combating the COVID-19 Pandemic40 citations · 2021
- 2
- 3
- 4