Alexandre Carra

Universidad Autónoma del Estado de México

Papers

Total Citations

H-Index

About

Alexandre Carra is a researcher whose work sits at the critical intersection of medical robotics and biomechanical modeling, with a primary focus on improving percutaneous therapies. His key research area involves the computational and physical modeling of needle insertion through complex, multi-layered biological tissues. Carra’s major contribution is his pioneering development of a general force model for needle insertion that accounts for distinct tissue layers—specifically skin, fat, and muscle. This work, detailed in his most-cited paper from 2010 (24 citations), provides a foundational framework for simulating the procedure, which is essential for both surgical training and the advancement of robotic-assisted therapies. His subsequent paper on multilayer modeling for robotic percutaneous therapy (11 citations) further refines this approach, directly linking his models to practical robotic applications. By tackling the challenge of heterogeneous tissue interaction, Carra has provided a critical tool for enhancing the precision and safety of needle-based interventions, establishing a basis for more accurate haptic feedback in surgical simulators and smarter control algorithms for medical robots.