MITIC LAB

The Minimally Invasive Therapy and Innovation Center (MITIC) is a Research and Training Center (R&Tc) focused on minimally invasive and robotic surgery and operative endoscopy.

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The MITIC Lab

The Minimally Invasive Therapy and Innovation Center (MITIC) is a Research and Training Center (R&Tc) focused on minimally invasive and robotic surgery and operative endoscopy.

The Center is equipped to host ex vivo clinical tests, allowing the development of new technologies for surgery based on constant collaboration between engineers and surgeons. In addition to the test rooms, equipped with columns and the most advanced simulators for endoscopy and laparoscopy, there is a classroom with latest generation technology for video conferences and live streaming.

A Unique Structure
for Research

MITICS’ s unique interdisciplinary team includes biomedical engineers, robotic engineers, and clinicians, all working together to push the boundaries of medical technology development.

The MITIC lab
is structured into three key research lines:

Surgical Robot Autonomy
and Simulation

This line focuses on autonomous surgical tasks using platforms like da Vinci Research Kit (dVRK), integrating machine learning, robotic control, dynamics, and simulation platforms such as Unity 3D and Isaac Sim. Research includes target-driven autonomous suturing and the development of a surgical gesture dataset.

Sensing and Cognitive Vision

This area involves surgical video analysis, real-to-sim and sim-to-real simulation of surgical environments, and advanced image processing for understanding and reconstructing surgical scenes. Projects include depth sensing in endoscopic surgery and synthetic dataset generation for tool segmentation.

Design and Development
of Novel Robotic Devices

This line focuses on creating new robotic tools like the RED++ soft robot for endoscopic dissection, emphasizing innovations in robotic control mechanisms such as sliding, rotation, and bending of robotic components.

Surgical Robot Autonomy
and Simulation

This line focuses on autonomous surgical tasks using platforms like da Vinci Research Kit (dVRK), integrating machine learning, robotic control, dynamics, and simulation platforms such as Unity 3D and Isaac Sim. Research includes target-driven autonomous suturing and the development of a surgical gesture dataset.

Sensing and Cognitive Vision

This area involves surgical video analysis, real-to-sim and sim-to-real simulation of surgical environments, and advanced image processing for understanding and reconstructing surgical scenes. Projects include depth sensing in endoscopic surgery and synthetic dataset generation for tool segmentation.

Design and Development
of Novel Robotic Devices

This line focuses on creating new robotic tools like the RED++ soft robot for endoscopic dissection, emphasizing innovations in robotic control mechanisms such as sliding, rotation, and bending of robotic components.

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