Project description
Validation and evaluation of cognitive robots
Robots that can learn, adapt and safely interact with people and their environment have the potential to transform production, healthcare, logistics and scientific exploration. However, ensuring that such cognitive robots are reliable, safe and trustworthy remains a major challenge. Supported by the Marie Skłodowska-Curie Actions programme, the CAVECORE project will train a new generation of researchers to make evaluation and validation a central part of robot development. By developing methods for continuous, unbiased testing in both virtual and real-world environments, CAVECORE will strengthen trust in cognitive robots. Close collaboration with stakeholders will ensure that future robots meet not only technical standards but also the ethical, legal, social and economic requirements set out in European regulations such as the AI Act.
Objective
What technology can enable more agile production, personalized healthcare, efficient logistics, and expand scientific reach into ocean depths? We need cognitive robots that interact with environments, humans, and agents to autonomously acquire skills and perform diverse tasks in open-ended contexts. CAVECORE addresses a critical challenge in AI-enabled robotics: evaluating the quality of robotic agents in open-ended environments, including performance, safety, and reliability. How can we validate robot behavior with trustworthy measurements and automate this task over long periods? CAVECORE aims to streamline the innovation process into goal-oriented, efficient technological progress for organizations developing cognitive robots by training AI robotics researchers in methods for replicable, unbiased validation and evaluation in virtual and real-world environments, allowing humans to calibrate trust towards cognitive robots. CAVECORE enables stakeholders (users, developers, policymakers) to understand the expected and actual quality of cognitive robots, ensuring conformance with emerging ethical, legal, social, and economic requirements of the EU AI Act, and delivering robots capable of continuous self-assessment and improvement. CAVECORE's principle of evaluability-by-design mandates that validation and evaluation concepts be integral to the robot development process, not an afterthought, and that cognitive robots continuously provide evidence of their quality. This principle shapes the training program and expert consortium, which offers interdisciplinary training in cognitive science and robotics, AI metrology, and automated testing and validation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- social sciences psychology cognitive psychology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-DN-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28359 Bremen
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.