Section: Partnerships and Cooperations

National Initiatives

ANR JCJC SenseFly

Participants : Muhammad Usman, Paolo Robuffo Giordano.

no Irisa CNRS 50476, duration: 36 months.

The ANR “Jeune Chercheur” SenseFly project started in August 2015 and ended in December 2018. Its goal is to advance the state-of-the-art in multi-UAV in the design and implementation of fully decentralized and sensor-based group behaviors by only resorting to onboard sensing (mainly cameras and IMU) and local communication (e.g., Bluetooth communication, wireless networks). Topics such as individual flight control, formation control robust against sensor limitations (e.g., limited field of view, occlusions), distributed estimation of relative positions/bearings from local sensing, maintenance of architectural properties of a multi-UAV formation are studied in the project. Part of the platforms described in Section 6.6.6 has been purchased thanks to this grant.

ANR PLaTINUM

Participant : Vincent Drevelle.

no Inria Sophia 10204, duration: 42 months.

This project started in November 2015. It involves a consortium managed by Litis in Rouen with IGN Matis (Paris), Le2i (Le Creusot) and Rainbow group. It aims at proposing novel solutions to robust long-term mapping of urban environments.

Equipex Robotex

Participants : Fabien Spindler, François Chaumette.

no Inria Rennes 6388, duration: 9 years.

Rainbow is one of the 15 French academic partners involved in the Equipex Robotex network that started in February 2011. It is devoted to get and manage significant equipment in the main robotics labs in France. In the scope of this project, we have obtained the humanoid robot Romeo (see Section 6.6.5).

CNRS/INS2I - PEPS JCJC ShareHaptics

Participant : Claudio Pacchierotti.

no Inria Rennes 7991, duration: 12 months.

The project addresses the need of combining wearable haptics and shared control. Shared-control techniques will enable a single user to intuitively control the coordinated motion of several robots (e.g., a team of drones/manipulators). At the same time, multi-type multi-point wearable haptic devices will provide the necessary multi-faceted feedback information to the user.