Alberto Rota

About

Alberto Rota is a leading researcher at the intersection of augmented reality (AR), surgical robotics, and human-robot collaboration. His work focuses on transforming how surgeons train and perform complex procedures by integrating cutting-edge AR systems with robotic platforms. Rota’s major contributions include the development of a novel AR and human-robot collaboration framework for percutaneous nephrolithotomy (PCNL), which enhances needle alignment accuracy during kidney stone surgery, and a Unity-based da Vinci robot simulator that provides low-cost, open-source training for robot-assisted minimally invasive surgery (RAMIS). His most cited work, a comprehensive survey on AR for robotic applications (50 citations), highlights the expanding role of AR in medical, industrial, and social robotics. Rota has also pioneered adaptive difficulty training systems that personalize surgical skill development using VR, and validated an augmented training curriculum that improves clinical performance. With over 80 total citations, his research is shaping the future of surgical education and precision medicine.

Research Focus

Key Achievements

Top Papers

1. 1
   Recent Advancements in Augmented Reality for Robotic Applications: A Survey

   50 citations · 2023
2. 2
   Augmented Reality and Human–Robot Collaboration Framework for Percutaneous Nephrolithotomy: System Design, Implementation, and Performance Metrics

   16 citations · 2024
3. 3
   A Unity-based Da Vinci Robot Simulator for Surgical Training

   13 citations · 2022
4. 4
   Performance-Driven Tasks with Adaptive Difficulty for Enhanced Surgical Robotics Training

   2 citations · 2024
5. 5
   Implementation and Assessment of an Augmented Training Curriculum for Surgical Robotics

   2 citations · 2024

Key Collaborators

Contact & Links