FAROS, H2020 ICT [2021-2024]
Functionally Accurate Robotic Surgery
Will surgical robots ever be able to operate autonomously? Computer-controlled machines used in surgery are directly operated by skilled surgeons. Today there is no robotic autonomy involved. While modern robotic approaches target absolute geometric precision, functional accuracy (relative to targeting anatomic and functional structures) is what matters in surgery. The EU-funded FAROS project is developing new ways to embed physical intelligence in surgical robotics. Specifically, it will construct a functional representation of the surgical task fusing key non-visual sensing. Also, deep machine learning will interpret intraoperative data. The project will demonstrate this new way to operate surgical robots in autonomously executed critical steps in spine surgery.
Role: Partener
Micro-Technology and Systems for Robot-Assisted Laser Phonomicrosurgery
The µRALP project is focused at advancing the state of the art in laser phonomicrosurgeries, which currently relies completely on the dexterity of surgeons who must operate through a microscope, control the laser aiming directly by hand, and deal with the associated poor ergonomics of the operating setup.
µRALP will also advance contemporary experimental systems, which have limited application range due to dependency on an external microscope with direct line of sight to the operating area. These advancements will come with the creation of a novel teleoperated surgical system based on a micro-robot end effector and a custom endoscope that will bring novel imaging and surgical technologies to the inside of the patient's body, eliminating the need for the surgical microscope and its associated requirement for direct line of sight to the surgical site. This new system will bring unprecedented levels of accessibility and precision to laser microsurgeries, allowing operations not previously possible with current technology. It will expand the surgical site imaging and laser control dimensionality to 3D, and augment surgeons' capabilities by providing fine aiming control, real-time visualization of tumor tissue, and a safety system able to predict and avoid surgical errors. In addition, it will provide the surgeons with an ergonomic and information-rich operating environment, which will result from research into novel surgeon-machine interfaces and augmented reality systems.
Role: WP leader
Markerless Augmented Reality for the Future Orthopedic Surgery
Today, according to Global Market Insights, the orthopedic medical device (MD) market is growing rapidly and will be worth more than $22.4 billion by 2025. Joint replacement (hip, knee, extremities) represents nearly 37% of the market share. These devices include conventional ancillary instruments, custom-made guides, navigation systems, robotic systems. More recently, augmented reality navigation systems have been developed. They are recognized for their accuracy, low cost, ease of use, and clinical added value. It is in this context that the MARSurg project aims to implement an innovative surgical navigation solution with high scientific, technological and clinical potentials.
Role: Principal investigator
Intra Cardiac Echography integration in Landing an Annuloplasty Device for transcatheter Mitral Valve Repai
Dispositif de réparation de la valve mitrale par voie transcatheter incorporant une sonde d'échographie intra cardiaque coaxiale (ICE) pour effectuer une annuloplastie mitrale direct
Role: Partner leader (Sorbonne University)
MicroRobot-assisted Cholesteatoma Surgery
Cholesteatoma is a skin growth that occurs in an abnormal location in the middle ear. It is usually due to repeated infection. It was estimated that one new case per 10,000 citizens occurs each year. Over time, cholesteatoma expands in the middle ear, filling in the empty cavity around the ossicles and then eroding the bones themselves (ossicles, mastoid). Cholesteatoma is often infected and results in chronically draining ears. It also results in hearing losses and may even spread through the base of the skull into the brain. Nowadays, the most effective treatment of cholesteatoma is to surgically remove the infected tissues through a minimally invasive procedure. Therefore, there is a real need for a minimally invasive robotic system able to access the epitympanum cavity, with high accuracy and dexterity.
The objectives of µRoCS are the drastic reduction of recurrence (50% to 10%) and of aggressive wall-down procedures (the most commonly used procedure). Therefore, this project proposes a novel integrated robotic system that will exhaustively and efficiently remove the cholesteatoma, especially in the hardly accessible area located behind the mastoid bone (epitympanic cavity). Ideally, the proposed system will travel through the ear canal, and enter the middle ear by a small incision below the eardrum and/or via a small access tunnel drilled through the mastoid bone.
Role: Co-Principal Investigator
Microrobotic Nasal Endoscopy by OCT: Impact of Smell Deficiency on Neurodegenerative Diseases
NEMRO plans to develop a nasal endoscope equipped with an OCT fiber imaging system (Optical Coherence Tomography). This nasal endoscope consists of a miniature (diameter less than 2 mm) and flexible robotic system. The robot design is based on the use of hybrid actuation: remote actuation by a specific mechatronic system and on-board actuation based on the use of electroactive (polymeric) materials. This system will provide a dynamic in-vivo and non-invasive characterization tool for high-resolution 3D images (3D optical biopsies). These will allow very precise and in-depth analysis of the appearance and texture of olfactory cells comparable to histological sections. In the short term, this system will provide an unprecedented means of reliable, low-cost, experimental investigation into the understanding/diagnosis of certain neurodegenerative diseases. It will also allow the monitoring of the evolution, over time, of the loss of smell and its repercussion on neuronal degeneration.
Role: Principal investigator
Robotics and Optical Coherence Tomography (OCT) for optical BiOpsy in the digestive Tract
This project proposes a disruptive approach to cancer diagnosis in the digestive tract. It deals with fundamental research, yet it is deeply inspired by the clinical needs and it mixes mathematics (compressed sensing, robot control), physics (optics) and engineering (optical MEMS, robotic endoscope, flexible continuous robot).
Thereby, the following results are expected: 1) a miniature in-silico OC T scanner, 2) faster OCT volume acquisition and segmentation through compressed sensing and an adaptive scanning strategy, 3) use of both white-light images and OC T signal in the control of the endoscope holding the scanner, especially in view of motion compensation, 4) integration of all these contributions in a single physical “macro-micro” demonstrator to increase transferability of the results.
Role: WP leader
Automated pesticide-free control of agricultural pests
The GreenShield project aims to reduce the use of pesticides by developing a robotic module embedded in a vehicle (mobile robot, tractor,...) to control crop pests (invertebrates, diseases, weeds). This module will autonomously detect plagues by spectral analysis and destroy them by laser fire. Embarked on mobile robots, he will patrol the crops to scan the plants, collect reliable data on pests that will be used to optimize subsequent campaigns. This new treatment method will define a new paradigm for "organic" pest control.
The feasibility of the technological solutions proposed in this project has already been demonstrated. Indeed, by optical spectrometry, it is possible to characterize insect species with a success rate greater than 95%. In January 2017, we performed a proof-of-concept validating the detection method on aphids with a commercial spectrometer and a statistical method (Main Component Analysis). Concerning the method of destruction, its effectiveness has been proven by colleagues on cockroaches. In 2010, a team showed that it is possible to destroy up to 100 mosquitoes in flight, at a maximum distance of 30m, with a Blu-ray laser.
Role: Participant
FRANCHIR : FRANche-Comté HIgh precision micro-Robotics
Role : Principal investigator
compOCT: Acquisition comprimée en imagerie médicale
Role : Principal investigator
COSMIC: Robot à tubes COncentriqueS pour la MIcroscopie Confocale
Role : Participant
DeSweep: Suivi des déformations des tissus mous par imagerie OCT et échographique