About

Ahmed Chemori is a prominent robotics and control systems researcher whose work spans parallel kinematic manipulators, cable-driven parallel robots, and underwater robotics. Based at a leading French research institution, Chemori has made substantial contributions to advancing control strategies for complex robotic systems operating under demanding conditions. His most celebrated work focuses on developing sophisticated control frameworks — including nonlinear model predictive control (NMPC), adaptive control, and sliding mode techniques — for parallel manipulators and cable-driven systems. His 2022 NMPC study for cable-driven parallel robots, already accumulating 77 citations, elegantly integrates cable tension management directly into the control formulation, addressing a fundamental challenge in the field. His dual-space adaptive control approaches for redundantly actuated robots and experiments achieving extreme accelerations up to 100G further underscore his ability to bridge rigorous theory with real-world experimentation. Beyond terrestrial robotics, Chemori has made notable inroads into underwater robotics, contributing to biomimetic underwater vehicles, diver-tracking systems, and virtual testbeds for submerged manipulation — work collectively gathering over 150 citations. With publications spanning from 2013 to 2023 and a consistently growing citation profile, Chemori stands as an influential figure shaping modern advanced robot control research.

Research Focus

Key Achievements

18
H-Index
62
Papers
1,012
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
A Nonlinear Model Predictive Control for the Position Tracking of Cable-Driven Parallel Robots
77 citations · 2022
📈 Most Prolific Year: 2022 (7 Papers)
🤝 Key Collaborators: 76
🏛 Institutions: Centre National de la Recherche Scientifique, Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Université de Montpellier, Institut polytechnique de Grenoble, Laboratoire Rhéologie et Procédés, University of Sfax

Top Papers

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Key Collaborators

Contact & Links

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Content generated · 35 days ago