Search
Evidential Situational Perception from Collaborative Semantics. – SCOPES
The fields of industry 5.0 and defense are increasingly based on systems of systems where robotic agents must adapt to humans with whom interactions take place. The use of heterogeneous fleets of agents with perception devices is a godsend that allows, after merging individual information, to propos
Combining Machine Learning and Automated Planning Methods for Robust Heterogeneous Robot Teams – PARHéRo
The PARHéRo project explicitly aims to increment synergies between scientific and industrial research to anticipate and control the evolution of heterogeneous robotic platforms in complex, unknown and/or hostile environments. The successful completion of robotic missions is ensured by the high degre
Digital communication free collaborative robots swarms – RoboSCo
This project presented in response to the ASTRID ASRO 2021 call for projects deals with perception and decision mechanisms for robot swarms with neither absolute positioning nor digital communications. It aims at studying : - Perception mechanisms and algorithms allowing a swarm of autonomous rob
Weakly supervised learning and efficient deep models deployed on an ROV for the detection and the classification of underwater objects – ROV-Chasseur
With 18,000 km long coastlines and more than 11 millions km^2 of the exclusive economic zone (EEZ), the French maritime environment has a significant impact not only on the social and economic side but also on the side of defense. The second world EEZ cannot be ignored, but our means of patrol and
Return to base and precision docking of an indoor drone – SpotReturn
The SpotReturn project focuses on the problem of GPS-denied navigation of indoor drones. It targets two scientific challenges: (1) the estimation of the distance traveled for a return to base by using a visual perception consisting of visual cues of optical flow, and (2) the precise docking of the d
Fleet of UAVs to monitor in real-time pollutant plumes – PANACHE
The objective of this project is to conduct researches and developments on adaptive sampling strategies of an accidental pollution plume by a fleet of drones in order to provide a real-time mapping of the plume, aiming at innovative and proactive responses in crisis situations. The problem of obs
AutonomouS SYstem for Decoying using Uav Swarms – ASSYDUS
As part of the exploration of the concepts of artificial intelligence and robotics in future combat systems, a concept was developed (and validated by operational staff) on the use of drones to deceive ground-to-air defense systems, or opposing combat aircrafts. The originality of the principle adop