Marco Ferro
Papers
8
Total Citations
158
H-Index
6
About
Marco Ferro’s research sits at the intersection of surgical robotics, autonomous navigation, and human-robot interaction, with a particular focus on minimally invasive robotic surgery (MIRS) and mobile robot control. He is best known for his pioneering work on simulation platforms for the da Vinci Research Kit (dVRK), including a widely adopted V-REP simulator (62 citations) and a subsequent CoppeliaSim dynamic simulator (23 citations), which have become essential tools for the research community. Ferro also developed a portable virtual reality dVRK simulator, expanding access to surgical robotics training. Beyond surgery, he has made significant contributions to vision-based navigation of omnidirectional mobile robots (24 citations) and humanoid navigation in cluttered environments using optical flow. His work on needle-tissue interaction modeling (20 citations) and haptic feedback enhancement (5 citations) addresses critical challenges in robot-assisted interventional procedures, improving both accuracy and patient safety. With over 150 total citations across his portfolio, Ferro’s research has demonstrably advanced the realism and accessibility of surgical robot simulators while also pushing the boundaries of autonomous mobile robot navigation. His recent work on control barrier functions for safe trajectory tracking further underscores his commitment to developing robust, real-world deployable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1A V-REP Simulator for the da Vinci Research Kit Robotic Platform62 citations · 2018
- 2Vision-Based Navigation of Omnidirectional Mobile Robots24 citations · 2019
- 3A CoppeliaSim Dynamic Simulator for the Da Vinci Research Kit23 citations · 2022
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- 5A Portable da Vinci Simulator in Virtual Reality15 citations · 2019
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