Project description
Teaching robots to learn like humans
Robots are transforming factories, but they struggle with the unpredictability of real-world environments such as homes or hospitals. This is due to a lack of intelligence that limits their ability to learn and adapt like humans. Supported by the Marie Skłodowska-Curie Actions programme, the ALGR2S project combines cutting-edge AI with biologically inspired learning algorithms. The project seeks to teach robots new skills the way people learn – through experience and adaptation. From sensorimotor control to decision-making, the system will help robots master complex tasks with greater reliability and transparency. Validated through tasks like flexible assembly, ALGR2S hopes to boost Europe’s leadership in the global race for smart robotics, while equipping the next generation of researchers with essential skills.
Objective
"Robotics is crucial in Europe for driving innovation and maintaining global competitiveness in advanced manufacturing, service and automation, etc. At present, one of the primary limitations hindering the further development of robotics today is the lack of sufficient intelligence, which prevents robots from being deployed in complex tasks such as those in home-services, and healthcare. Robotic skill learning aims to provide robots with the necessary intelligence to acquire the skills needed for performing these complex tasks. The explosion of AI technologies in recent years has provided a large platform and space for robot skill learning. The primary objective of this proposal is to develop a generalizable robotic skills learning system leveraging advanced AI techniques. This system will be designed to emulate the human skill-learning process, thereby enhancing both the reliability and explainability of the learning behaviors. The researcher will investigate foundation model techniques to provide human-level generalization ability for robots. Moreover, The researcher will present novel biologically inspired sensorimotor policy learning algorithms to significantly enhance the reliability and explainability of the system. The system will be validated via various applications such as assembly across different objectives. During the project, the researcher will acquire a solid multidisciplinary scientific and transferable skills training, covering from AI theorems, robotic applications, project management skills and career planning, etc. The final aim of the project is to push the Europe in a good position to ride the coming wave of ""AI + Robots""."
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
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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-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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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-PF-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.
L69 7ZX LIVERPOOL
United Kingdom
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.