Mohamed Razi Morakchi

Université de Sherbrooke, Université de M'Sila

Papers

4

Total Citations

32

H-Index

4

About

Mohamed Razi Morakchi is a rising force in the field of continuum robotics, specializing in the design, modeling, and intelligent control of flexible, cable-driven robotic systems. His work bridges the gap between soft robotics and advanced control theory, with a particular focus on enabling precise motion in highly deformable structures. Morakchi’s major contributions include pioneering the application of Optimized Computer Torque Control (OCTC) to continuum robots, a novel approach that computes required cable tensions for dynamic stability, as detailed in his 2023 paper (9 citations). He has also advanced reinforcement learning for robotics, proposing a DDPG-based controller that uses section curvature—rather than traditional angles—to achieve desired positions for spatial continuum robots (2024, 14 citations). His research extends to affordable, IoT-integrated robot prototypes, with kinematic modeling for cost-effective manufacturing (2022, 5 citations), and design optimization using 3D printing and artificial neural networks (2024, 4 citations). By combining theoretical modeling, simulation, and practical prototyping, Morakchi is making continuum robots more accessible, controllable, and intelligent—paving the way for their use in medical, industrial, and exploratory applications.

Research Focus

Key Achievements

4
H-Index
4
Papers
32
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
DDPG-based reinforcement learning for controlling a spatial three-section continuum robot
14 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Université de Sherbrooke, Université de M'Sila

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago