A. Amouri

University Frères Mentouri Constantine 1

Papers

13

Total Citations

188

H-Index

7

About

A. Amouri is a prominent robotics researcher whose work has significantly advanced the field of continuum robot modeling, control, and kinematics. Specializing in the mathematical foundations of flexible and cable-driven continuum robots, Amouri has made substantial contributions to solving some of the field's most persistent challenges, including the highly nonlinear dynamics and kinematic redundancy that make these systems notoriously difficult to model and control. Among Amouri's most influential contributions is a dynamic modeling framework for continuum manipulators using the Euler-Lagrange method, which has garnered 42 citations, alongside an earlier fixed-orientation dynamic model with 46 citations — both representing foundational references in the field. Amouri has also pioneered the application of metaheuristic and bio-inspired optimization algorithms, including Particle Swarm Optimization, to solve inverse kinematics problems that lack closed-form analytical solutions, with related works attracting up to 24 citations. More recently, Amouri has pushed toward practical control solutions, developing nonlinear model predictive control strategies and fractional-order PID controllers for trajectory tracking. The introduction of a bio-inspired dual-cross-module cable-driven continuum robot further demonstrates a growing focus on novel design and workspace analysis. Collectively, Amouri's body of work offers researchers a comprehensive toolkit for tackling the complexity of next-generation continuum robotics.

Research Focus

Key Achievements

7
H-Index
13
Papers
188
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Modeling of a Class of Continuum Manipulators in Fixed Orientation
46 citations · 2017
📈 Most Prolific Year: 2022 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University Frères Mentouri Constantine 1

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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