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L’institut Carnot TN@UPSaclay (CEA List) aux rendez-vous Carnot 2019


carnot 2019 1Au croisement de la recherche et du développement industriel, l’institut Carnot TN@UPSaclay (CEA List) focalise ses programmes de R&D sur l’intelligence artificielle, l'usine du futur, les systèmes cyberphysiques et la santé numérique. Il contribue à la compétitivité des entreprises par l’innovation et le transfert technologique et collabore chaque année avec plus de 200 entreprises, dont 50% de PME.

Nos 3 atouts ? Un important portefeuille de technologies génériques protégées par des brevets, une approche d’« ensemblier de l’innovation » et des plateformes technologiques de haut niveau.

Retrouvez-nous sur le stand H33 (Espace Champerret) et sur les conférences suivantes :

carnot 2019 2Conférences plénières

16 octobre, 11:00-11:40 | Quelles opportunités pour l’IA dans le secteur manufacturier ?

Pour le Carnot TN@UPSaclay :

  • Eric Bévillard, Bureau Etude Marketing, CEA Tech
  • Florent Pénet, Consultant en marketing et stratégie de l’innovation technologique, CEA Tech

Pitchs Espace Manufacturing (J32)

  • 16 octobre, 09:00 | « Isybot, l’automatisation agile » | Yvan Measson, Isybot
  • 16 octobre, 14:00 | « La perception automatique, fonction primaire des machines intelligentes » | Stéphane David, Carnot TN@UPSaclay (CEA List)

Pitchs Village Findmed

  • 16 octobre, 10:30 | « Collecte et analyse des données avec l’IA : comment aider les professionnels de la santé ? » | Romain Farel, Carnot TN@UPSaclay (CEA List)
  • 17 octobre, 10:35 | « Nouveaux outils logiciels pour l’optimisation des pratiques en imagerie médicale » | Guillaume Boissonnat, Carnot TN@UPSaclay (CEA List)

Pour en savoir plus venez nous rencontrer sur le stand H33 à l’espace Champerret lors des RDV Carnot les 16 et 17 octobre 2019 !

Pas encore inscrit ?

À très vite !



October 7, 2019 | List develops EMY exoskeleton to restore mobility in tetraplegic patients

clinatec 1 2
The four-limb exoskeleton controlled by the patient during the BCI project at Clinatec ©Clinatec

The breakthrough

For the first time ever, a tetraplegic patient was able to walk and control his two upper limbs using a neuroprosthetic system that gathers, transmits, and decodes brain signals in real time to control an exoskeleton built by List, a CEA Tech institute and member of the Carnot Network. The results of Clinatec’s Brain Computer Interface (BCI) clinical trial were published on October 4, 2019 in The Lancet Neurology. The trials were carried out at Clinatec in cooperation with the CEA and Grenoble-Alpes University Medical Center. The CEA and Clinatec held a press conference on October 7, and this step forward for patients was picked up numerous times by the media.

List’s challenge

For List’s ExoBCI team, dispatched to Grenoble near where the clinical work is being done, the EMY (Enhanced Mobility) exoskeleton is the culmination of several years of development and integration work on List’s reversible actuator and command-control technology bricks. EMY was designed specifically around the fact that it would have to interact with a tetraplegic patient to enable the patient to move around safely. List design software also contributed to this exciting advance by ensuring that the electronics used to run the exoskeleton are safe.

Learn more in the CEA press release and media coverage of this breakthrough:



October 3, 2019 | Real-time 3D image reconstruction for non-destructive testing

CND reconstruire images 3d 250A new image reconstruction algorithm that is 30 times faster than the prior state of the art has placed real-time inspection within reach. The algorithm, based on techniques used in medical imaging, was utilized for non-destructive testing (NDT), where it produced 3D images in real time.

In non-destructive testing (NDT) 3D images are usually constructed by post-processing data from ultrasonic probes. And, with processing times from a few minutes up to an hour (depending on the number of voxels in the final 3D image), "real-time" imaging is simply not possible. Researchers at List, a CEA Tech institute, sped image processing up by a factor of 30, effectively eliminating a major obstacle to real-time 3D imaging.

The research, which was for a PhD dissertation, leveraged existing technologies used in medical imaging. They tweaked a space-time Fourier transform algorithm to factor in the unique characteristics of non-destructive testing, such as a variety of waves, the presence of interfaces between the probe and part to inspect, and the reflection of waves off of the interfaces. An initial proof-of-concept confirmed that the algorithm was valid by performing the calculations in parallel on multicore graphics processors. The 3D images obtained presented the same level of quality as those produced using conventional methods—and they took just seconds to process.

The algorithm makes it possible to see the geometry of a defect "live" and in 3D from a single sensor position. Another PhD research project is focusing on speeding up data transfer to the CPUs with the goal of building a prototype real-time 3D imager.

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September 23, 2019 | Better control of patient exposure to radiation during cardiac catheterization

cardiologie reduction dose 250Reference beams used to measure the doses delivered by X-ray imaging equipment used in interventional cardiology have been developed by France's national radiation testing and metrology lab, LNHB.

In interventional cardiology, a doctor inserts a catheter into an artery or vein and directs it toward the area of the heart that requires treatment. During these procedures, the doctor controls his or her movements using real-time X-ray images. Catheterization has become increasingly popular over the past several years. However, until now, there was no available system for accurately measuring the dose delivered to patients undergoing these procedures. LNHB (Laboratoire National Henri Becquerel), which is both France's national radiation testing and metrology lab and a laboratory of CEA Tech institute List, recently filled this gap.

As part of the EU VERIDIC project, LNHB researchers developed four new reference beams covering the energy ranges used in interventional cardiology. The researchers drew on their spectrum characterization know-how, using X-ray generators to produce beams comparable to those generated by the equipment found in hospitals and treatment centers. They then measured the dosage (air kerma) with the primary instruments developed by LNHB.

These new reference beams will be used to calibrate the measurement instruments utilized in clinical settings, providing an accurate assessment of the doses of radiation delivered to patients during cardiac catheterization procedures.

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August 6, 2019 | Augmented non-destructive testing for greater reliability

Realite augmentee pour le CND cea list 250Manual non-destructive testing (NDT) is widely used in industry, and relies heavily on procedures and on the operator's skill level. Real-time monitoring and augmented reality tools were recently developed to assist operators with their NDT tasks.

Making the manual quality control of industrial parts more reliable is a challenge. Using NDT to manually verify the health of a part is complicated for operators, who must use a probe to scan the surface of the part in order to detect the defect typologies that correlate with health. To make this kind of NDT easier for operators, List, a CEA Tech institute, developed a system to track the ultrasonic probe’s position and display context-enhanced information in augmented reality.

Investigations conducted under the FOEHN* project backed by France’s National Research Agency led to the development of an infrared optical system to track the ultrasonic sensor’s position during manual NDT. The system can be installed and configured quickly, and indicates the probe’s position to within less than a millimeter. Special software that guides the operator’s movements was also developed: Augmented reality powers a real-time display of the area covered by the operator so that the operator can immediately adjust his or her movements to align with the established procedure.

Until now, the quality of this type of NDT depended mainly on the operator’s skill level. This advance makes it possible to verify the quality of testing after it is completed. And operators benefit from cognitive assistance so that they can focus their attention on the signals acquired and complete tricky testing, such as on areas of parts that are difficult to access.

Beyond the innovative nature of this new manual-NDT monitoring technology, it will also help evaluate NDT performance, incorporate human factors into simulation tools, and determine the impact of human factors on NDT.

*The FOEHN project, financed by the French National Research Agency (ANR), addresses organizational and human factors in the evaluation of NDT methods. The purpose of the project is to develop methodological tools to render the evaluation of NDT methods more accurate by taking into account all influences, including organizational and human factors. Learn more at:

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