Papers
17
Total Citations
240
H-Index
7
About
Albert Hernansanz is a prominent researcher at the intersection of medical robotics, surgical automation, and minimally invasive interventions. His work spans three core domains: robotic-assisted surgery, autonomous navigation for endoscopic and endovascular procedures, and human-machine interfaces for clinical robotics systems. Hernansanz has made significant contributions to the development of intelligent robotic platforms for minimally invasive surgery, including multi-robot cooperative systems and autonomous colonoscopy navigation using deep visuomotor control. His 2021 review on gastrointestinal endoscopy simulators (70 citations) highlighted critical pathways for training the next generation of endoscopists, while his 2023 systematic review on autonomous navigation for intraluminal and endovascular procedures (58 citations) has become a foundational reference in the field of surgical robotics autonomy. Beyond navigation and simulation, Hernansanz has addressed the often-overlooked challenge of clinician-robot interaction, developing rigorous frameworks for evaluating human-machine interfaces in robotic colonoscopy. His earlier work on cooperative multi-robot teleoperation and vision-based assistance in fetal surgery further demonstrates the breadth and clinical relevance of his research. With nearly 220 cumulative citations across a decade and a half of output, his contributions meaningfully advance the goal of safer, more autonomous, and accessible surgical robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5A multi-robot cooperation strategy for dexterous task oriented teleoperation19 citations · 2015
- 6
- 7
- 8Vision Based Robot Assistance in TTTS Fetal Surgery7 citations · 2019
- 9Optimization criterion for safety task transfer in cooperative robotics5 citations · 2009
- 10