Jaime C. Fonseca

University of Minho

Papers

13

Total Citations

115

H-Index

4

About

Jaime C. Fonseca is a pioneering researcher at the intersection of robotics, manufacturing, and medical technology. His work spans three core domains: industrial robot programming, additive manufacturing simulation, and medical robotics for minimally invasive procedures. In industrial robotics, Fonseca developed an off-line programming framework that reduces machine downtime by enabling robot code generation without halting production—a contribution that has garnered 20 citations and laid groundwork for human-robot collaboration systems. His FIBR3DEmul software (13 citations) provides an open-access simulation platform for 3D printing processes, supporting custom 5-axis printers and advancing accessible additive manufacturing research. Most notably, Fonseca has made significant strides in medical robotics, including a critical review of kidney targeting techniques for percutaneous nephrolithotomy (49 citations) and novel robotic systems for laser treatments of vascular lesions and breast cancer interventions. His recent work on design optimization of medical robotic systems using task performance metrics (2023) demonstrates a systematic approach to reducing subjective biases in surgical tool development. With over 100 total citations across his publications, Fonseca’s research exemplifies how robotics can transform both industrial manufacturing and healthcare delivery.

Research Focus

Key Achievements

4
H-Index
13
Papers
115
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Kidney Targeting and Puncturing During Percutaneous Nephrolithotomy: Recent Advances and Future Perspectives
49 citations · 2013
📈 Most Prolific Year: 2005 (2 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: University of Minho

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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