About

Dr. Ines Ben Hamida is a leading researcher in the design and optimization of parallel robotic systems, with a particular focus on rehabilitation and safety-critical applications. Her work bridges advanced kinematics, dimensional synthesis, and multi-objective optimization to create robots that are both high-performing and safe for human interaction. Her most impactful contribution, the 2020 paper on the multi-objective optimal design of a cable-driven parallel robot for rehabilitation tasks, has garnered 114 citations, establishing a foundational framework for compliant, patient-adaptive robotic therapy. Dr. Ben Hamida has also made seminal contributions to the comparative analysis of translational parallel manipulators, most notably in her 2020 study evaluating the Delta, 3-UPU, Romdhane-Affi-Fayet, and Tri-pyramid architectures—a key reference for engineers selecting optimal robot topologies. Her innovative work includes a novel safety criterion for cable-driven parallel robots (2020) and geometric methods for workspace analysis (2018), which have advanced the practical deployment of these systems. Through her rigorous, application-driven research, Dr. Ben Hamida is shaping the next generation of safe, efficient, and task-specific parallel robots for medical and industrial use.

Research Focus

Key Achievements

5
H-Index
5
Papers
163
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Objective optimal design of a cable driven parallel robot for rehabilitation tasks
114 citations · 2020
📈 Most Prolific Year: 2020 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Sousse, Centre National de la Recherche Scientifique, Institut Pprime, École Nationale Supérieure de Mécanique et d'Aérotechnique

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago