Rodrigo Donalisio da Silva
Papers
1
Total Citations
26
H-Index
1
About
Rodrigo Donalisio da Silva is a leading researcher at the intersection of robotic surgery and human–machine interaction, with a primary focus on developing intelligent, surgeon-centered systems for minimally invasive procedures. His most cited work, "Attention-Aware Robotic Laparoscope Based on Fuzzy Interpretation of Eye-Gaze Patterns" (2015, 26 citations), introduces a groundbreaking approach to reducing the physical and cognitive burden on surgeons. By integrating fuzzy logic with real-time eye-gaze tracking, da Silva’s system enables a robotic laparoscope to anticipate and respond to a surgeon’s visual attention, eliminating the need for explicit manual or voice commands. This innovation directly addresses a critical bottleneck in laparoscopic robotics—the added cognitive load from traditional interaction methods—and has been recognized as a foundational contribution to the field of context-aware surgical robotics. His work not only advances autonomous camera control but also sets a new standard for designing intuitive, human-centered robotic assistants in the operating room. Through this research, da Silva demonstrates a clear commitment to making robotic surgery safer, more fluid, and more accessible for practitioners.
Research Focus
Key Achievements
Top Papers
- 1