About

Grigore Gogu is a leading researcher in the field of soft robotics and deformable object manipulation, with a particular focus on the intersection of physical modeling, robotic control, and force-sensitive automation. His key research areas include soft material modeling for robotic manipulation, task formulation for deformable objects, and the development of redundant robotic architectures for industrial applications. Gogu’s most influential work, “Soft Material Modeling for Robotic Manipulation” (2012, 33 citations), introduces a novel approach that combines physical modeling with real-time tracking of deformable objects, using MRI-based geometrical models to address variability—a foundational contribution to the field. He extended this work in “Soft material modeling for robotic task formulation and control in the muscle separation process” (2014, 15 citations), demonstrating practical applications in biomedical and food processing contexts. His earlier study, “Robotic cell with redundant architecture and force control: application to cutting and boning” (2010, 9 citations), showcases his commitment to translating research into industry solutions, particularly for labor-intensive sectors like meat processing. Through these contributions, Gogu has advanced the understanding of how robots can safely and effectively interact with soft, unpredictable materials, bridging the gap between theoretical modeling and real-world robotic dexterity.

Research Focus

Key Achievements

3
H-Index
3
Papers
57
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Soft Material Modeling for Robotic Manipulation
33 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Université Clermont Auvergne, Centre National de la Recherche Scientifique, University of Clermont Auvergne

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago