INSPECT

EnhancIng Surgery wiTh learnINg-controlled Continuum roboT models

Logo INSPECT

Clément Beitone

Clément Beitone,

Associate Professor at Grenoble INP,
Clement.Beitone@univ-grenoble-alpes.fr




Taha Chikhaoui


M. Taha Chikhaoui,

Research Scientist at CNRS,
Taha.Chikhaoui@univ-grenoble-alpes.fr




DESCRIPTION

Developing reliable and explainable Artificial Intelligence (AI) approaches is of paramount, importance especially in clinical applications. The wide adoption of robots for surgery is established, with a market of $16 billion in 2024. This domain was marked by the introduction of continuum robots in the last decades, a break-through in the robotics paradigm, allowing for inherently safe, miniaturized, and deformable systems, able to access and navigate through complex anatomy and closely reach confined therapeutical targets. Their wide spread is yet limited by the ability to localize and control such small devices in medical images. INSPECT will provide AI (deep/reinforcement learning) methods, combined with recent sophisticated robot mathematical models, in order to precisely estimate the entire shape of continuum robots and assist surgeons to accurate control their motion. INSPECT will aim for advances in AI-based surgical robots: less invasive, safe, reliable, and accurate.


ACTIVITIES

Job Opportunity

INSPECT chair will hire one engineer by the end of the year : Apply Here 

 

EVENTS

INSPECT @ UGA - International-AB Meeting

2025-09-23
The INSPECT Chair has presented to the UGA - International Advisory Board Meeting, receiving positive feedback from the international community.

 

CHAIR PRESENTATION

Chair presentation INSPECT

License:
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 More Information on the chair 

Published on  October 13, 2025
Updated on October 13, 2025