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Section: Partnerships and Cooperations
Regional Initiatives
SAD WH-DRONE
Participants : Marco Aggravi, Claudio Pacchierotti.
no CNRS Rennes 181089, duration: 24 months.
This project funded by the Brittany council started in January 2019. It supports in part Marco Aggravi's research on using wearable interfaces for flying swarms of drones.
Allocation d'installation scientifique
Participant : Claudio Pacchierotti.
no CNRS Rennes 17C0487, duration: 36 months.
This grant from “Rennes Métropole” has been obtained in July 2017 and supports the activities related to the teleoperation of drones (quadrotor UAVs) using wearable haptics interfaces.
IRT Jules Verne Happy
Participant : François Chaumette.
no Inria Rennes 13521, duration: 36 months.
This project started in June 2018. It is managed by IRT Jules Verne in Nantes and achieved in cooperation with LS2N and Airbus. Its goal is to develop local sensor-based control methods for the assembly of large parts of aircrafts.
Prisme
Participants : Solenne Fortun, François Pasteau, Marie Babel.
no Insa Rennes 2017-0004, duration: 36 months.
This project started in January 2017 and is supported by Brittany region/BPI. This project aims at designing a fall prevention strategy based on the sensing collaboration of a smart wheelchair and a smart medical bed. Fall detection and automatic positioning of the wheelchair next to the bed issues are addressed (see Section 6.2.14).
Silver Connect
Participant : Marie Babel.
no Insa Rennes 2018-0076, duration: 34 months.
This project started in November 2018 and is supported by Brittany region/BPI as well as FEDER. This project aims at designing a fall detection framework by means of vision-based algorithms coupled with deep learning solutions.
Cartam
Participants : Noura Neji, Fabien Spindler, François Chaumette.
no Inria 13954 and 14041, duration: 36 months.
This project started in January 2019 and is supported by Brittany region and FEDER. It is managed by Triskalia with Unilet, Copeeks, Neotec Vision, Rainbow group, and our start-up Dilepix. It aims at designing a vision system able to detect adventices in a field. We are in charge of tracking the adventices once they are detected and of building a mosaic of the field for locating them.