About

Laurent Arcese is a leading researcher at the intersection of biomedical engineering and control theory, with a primary focus on magnetic navigation for minimally invasive medical interventions. His most impactful work centers on the modeling, optimization, and control of endovascular magnetically guided microrobots for targeted drug delivery, particularly in cancer therapy. In his highly cited 2011 paper (99 citations), Arcese pioneered a nonlinear model-based approach for controlling therapeutic microrobots in the cardiovascular system, addressing the complex dynamics of navigating ferromagnetic aggregates through blood vessels. He further advanced this field by developing precise models for microrobot trajectories in non-Newtonian blood flow environments, as detailed in his 2010 work. Beyond biomedical applications, Arcese has made significant theoretical contributions to control systems, notably in designing non-PDC controllers for Takagi-Sugeno fuzzy models using line-integral Lyapunov functions. His work bridges advanced control theory with practical medical robotics, demonstrating how sophisticated mathematical frameworks can enable precise, MRI-guided navigation for targeted chemotherapy, potentially revolutionizing how cancer treatments are delivered with reduced systemic side effects.

Research Focus

Key Achievements

3
H-Index
3
Papers
113
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Endovascular Magnetically Guided Robots: Navigation Modeling and Optimization
99 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: École Nationale Supérieure d'Art, Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique, Université de Reims Champagne-Ardenne

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago