Reliable AI for Marine Robotics

Project: Research

Project Details

Description

Robot designers are increasingly relying on Artificial Intelligence methods to make robots more robust. AI, in contrast to classical control, allows robots to adapt better to changing or noisy condition (noise here may mean friction in movement, imprecision of localization, imprecision of actuation etc.). Unfortunately, at the same time, AI, reduces trustworthiness of robots, as it is very hard to predict their behavior ahead of time, and assure safety. This is particularly difficult for robots that are learning during operation.

This consortium, consisting of leading robotics, AI, and software safety research labs in Europe, will train research experts in methods for assuring safety for machine learning based controllers, including online-learning and transfer-learning controllers. It will be supported by large European robotics players in robotics market who are the receiving stakeholders for such safety assurance methods.
AcronymREMARO
StatusActive
Effective start/end date01/12/202030/04/2025

Collaborative partners

  • IT University of Copenhagen (lead)
  • University of Oslo (Project partner)
  • RWTH Aachen University (Project partner)
  • Delft University of Technology (Project partner)
  • University of Bremen (Project partner)
  • Aarhus University (Project partner)
  • University of Porto (Project partner)
  • German Research Center for Artificial Intelligence (Project partner)
  • EIVA (Project partner)
  • ROSEN TECHNOLOGY & RESEARCH CENTERGMBH (Project partner)
  • OCEANSCAN - MARINE SYSTEMS & TECHNOLOGY LDA
  • KRG Kraken Robotik GmbH
  • DNV GL Group
  • Instituto Superior de Engenharia do Porto (ISEP)

Funding

  • European Commission: DKK29,631,885.23

Keywords

  • Reliable AI
  • Underwater Robotics
  • Robot Software

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