Previous | 
Home
Section: Partnerships and Cooperations
European Initiatives
FP7 & H2020 Projects
-
Project title: European Initiative to Enable Validation for Highly Automated Safe and Secure Systems
-
Other partners: Major European Organizations, including academic partners (such as Inria or KIT) and a Large number of industrial partners from various application domains such as automotive industry or Aeronautics or Train industry
-
Abstract: ENABLE-S3 is industry-driven and therefore aims to foster the leading role of the European industry. This is also reflected in its use case driven approach. The main technical objectives are extracted from the use cases defined by the industrial partners, in order to validate the success of the developed methods and tools.
The ENABLE-S3 project will provide European industry with leading-edge technologies that support the development of reliable, safe and secure functions for highly automated and/or autonomously operating systems by enabling the validation and verification at reduced time and costs.
Enables-S3 is a large European consortium, involving a French consortium leaded by Renault and Inria Grenoble Rhône-Alpes. The Inria Tamis team (Rennes) is also involved in the project.
Collaborations in European Programs, Except FP7 & H2020
PHC DRONEM
-
Project title: Optimizing Data Delivery in Multi-robot Network Patrolling using Machine Learning
-
Coordinator: O. Simonin, G. Czibula (University of Babes-Bolyai, Cluj-Napoca, Romania)
-
Abstract: The present research proposal is an interdisciplinary project that focuses on developing novel machine learning models and techniques for addressing the challenging problem of dynamic multi-robot network patrolling. This proposal brings together a team of researchers in the field of robotics (Chroma) with a team of researchers in the field of Machine Learning from Babeș-Bolyai University, Cluj-Napoca (the MLyRE team) and aims to combine their expertise in autonomous robotics and machine learning, as well as to exploit the complementarity between the two fields. Deploying fleets of mobile robots in real scenarios/environments raises several scientific challenges. One of them concerns the ability of the robots to adapt to the complexity of their environment, i.e. its dynamics and uncertainty.
Collaborations with Major European Organizations
-
Partner 1 : ETHZ, Zurich, Autonomous System laboratory, (Switzerland) and University of Zurich, Robotics and Perception Group (Switzerland)
-
Subject 1 : Vision and IMU data Fusion for 3D navigation in GPS denied environment.