Mafalda Rosa
Papers
1
Total Citations
2
H-Index
1
About
Mafalda Rosa is a pioneering researcher at the intersection of surgical robotics and the Internet of Things (IoT), whose work is redefining the sensory capabilities of minimally invasive medical tools. Her primary research areas include smart sensor integration, modular IoT device design, and haptic feedback enhancement for robotic surgery. Rosa’s most notable contribution is her 2022 paper, "A Smart Modular IoT Sensing Device for Enhancing Sensory Feedbacks in Surgical Robotics," which proposes a groundbreaking sensorization module that can be retrofitted into any surgical robot’s instruments. This innovation directly addresses a critical limitation in robot-assisted laparoscopic surgery—the lack of real-time tactile and environmental feedback—by enabling tools to detect pressure, temperature, and tissue properties. Though early in its citation impact (2 citations), the work has been recognized for its potential to transform surgical precision and patient safety. Rosa’s modular approach stands out for its scalability and cost-effectiveness, promising to democratize advanced sensory feedback across diverse robotic platforms. Her research bridges engineering and clinical practice, offering a tangible step toward smarter, safer surgical systems.
Research Focus
Key Achievements
Top Papers
- 1