European Companies Search Engine
EU funding (€6,883,234): Robotic Safe Adaptation In unprecedented Situations Hor21 Nov 2023 EU Research and Innovation programme "Horizon"
Overview
Text
Robotic Safe Adaptation In unprecedented Situations
The robots of tomorrow will be endowed with the ability to adapt to drastic and unpredicted changes in their environment including humans. Such adaptations can however not be boundless: the robot must stay trustworthy, i.e. the adaptations should not be just a recovery into a degraded functionality. Instead, it must be a true adaptation, meaning that the robot will change its behavior while maintaining or even increasing its expected performance, and stays at least as safe and robust as before. RoboSAPIENS will focus on autonomous robotic software adaptations and will lay the foundations for ensuring that such software adaptations are carried out in an intrinsically safe, trustworthy and efficient manner, thereby reconciling open-ended self-adaptation with safety by design. RoboSAPIENS will also transform these foundations into 'first time right'-design tools and robotic platforms, and will validate and demonstrate them up to TRL4. To achieve this over-all goal, RoboSAPIENS will extend the state of the art in four main objectives. 1. It will enable robotic open-ended self-adaptation in response to unprecedented system structural and environmental changes. 2. It will advance safety engineering techniques to assure robotic safety not only before, during and after adaptation. 3. It will advance deep learning techniques to actively reduce uncertainty in robotic self-adaptation. 4. It will assure trustworthiness of systems that use both deep-learning and computational architectures for robotic self-adaptation. To realise these objectives, RoboSAPIENS will extend techniques such as MAPE-K (Monitor, Analyze, Plan, Execute, Knowledge) and Deep Learning to set up generic adaptation procedures and also use an SSH dimension. RoboSAPIENS will demonstrate this trustworthy robotic self-adaptation on four industry-scale use cases centered around an industrial disassembly robot, a warehouse robotic swarm, a prolonged hull of an autonomous vessel, and human-robotic interaction.
Funded Companies:
| Company name | Funding amount |
| University of York | ? |
| Aarhus Universitet | €1,682,140 |
| Aristotelio Panepistimio Thessalonikis | €686,250 |
| Digitalent Group SL | €421,500 |
| FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG e. V. | €848,875 |
| Norges Teknisk-Naturvitenskapelige Universitet Ntnu | €649,323 |
| Pal Robotics SL | €573,938 |
| Simula Research Laboratory AS | €717,793 |
| Teknologisk Institut | €646,438 |
| Universiteit Antwerpen | €656,979 |
Source: https://cordis.europa.eu/project/id/101133807
The filing refers to a past date, and does not necessarily reflect the current state. The current state is available on the following page: University of York, Heslington.
The visualizations for "University of York - EU funding (€6,883,234): Robotic Safe Adaptation In unprecedented Situations"
are provided by
North Data
and may be reused under the terms of the
Creative Commons CC-BY license.
