Papers

13

Total Citations

539

H-Index

8

About

Alessandro Diodato is a pioneering researcher at the intersection of soft robotics, surgical robotics, and medical mechatronics. His work has fundamentally advanced the design and control of compliant robotic systems for minimally invasive surgery (MIS), with a particular focus on developing flexible, dexterous manipulators that can safely navigate within the human body. His 2017 paper on feedback control of soft robot actuators using commercial flex bend sensors garnered over 215 citations, establishing a landmark contribution to closed-loop control of fluid-driven elastomeric systems. Alongside this, his highly dexterous two-module soft robot for intra-organ navigation — aimed at challenging procedures like Total Mesorectal Excision — has attracted nearly 120 citations, demonstrating the real-world surgical relevance of his designs. Beyond soft robotics, Diodato has made significant strides in non-invasive therapies, developing robotic platforms for High-Intensity Focused Ultrasound (HIFU) surgery that address the formidable challenge of targeting moving abdominal organs. His more recent investigations into human-robot interaction and collaborative environments reflect a broadening research vision. With a portfolio spanning smart sensorized skins, modular soft manipulators, and computer-assisted surgical platforms, Diodato's contributions represent a cohesive and impactful body of work shaping the future of robotic-assisted medicine.

Research Focus

Key Achievements

8
H-Index
13
Papers
539
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Feedback Control of Soft Robot Actuators via Commercial Flex Bend Sensors
215 citations · 2017
📈 Most Prolific Year: 2017 (5 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Scuola Superiore Sant'Anna, Piaggio (Italy), Center for Micro-BioRobotics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago