Project description
Innovative robot skill learning framework
Learning from demonstration (LfD) is a model for empowering robots to autonomously learn to perform new tasks. However, environmental changes, expensive demonstration costs, and potential uncertainties due to data-based learning limit its application. The EU-funded L3TD project will propose a robot skill learning framework based on the human learning process to achieve humanlike skill learning characteristics. The project will equip a teleoperated interface with multi-sensors and a special exoskeleton to minimise information difference between humans and robots, explore new theories of primitive skill (PS) learning and PS-based task graph learning, learn and generalise PS to achieve failure reasoning, and adaptation to zero and few-shot tasks.
Objective
Learning from demonstration (LfD) is a paradigm for enabling robots to autonomously learn from demos to perform new tasks. But, environmental changes, expensive demonstration cost, and potential uncertainties caused by data-based learning make it hard to be applied in actual. The project aims to propose a robot skill learning framework from human learning process via a teleoperation interface to achieve human-like skill learning characteristics such as few-shot learning, learning from failed attempts and tentative actions, and strong skill transfer and generalization ability. Five work packages will be taken to realize the objectives. First, a teleoperated interface will be equipped with multi-sensors and special exoskeleton to minimize information difference between humans and robots. After building a scalable primitive skill (PS) library based on task segmentation with multimodal information, new theories of PS learning and PS-based task graph learning are explored. PS will be learned and generalized based on improved meta-learning that is associated and explained by physical laws and neural motor disciplines. The PS-based task graph will be learned from the human learning process, achieving failure reasoning and adaptation to zero/few-shot tasks. Some practical problems e.g. incomplete data set and difference of sim-to-real applications will also be addressed. Finally, the previous theories will be certified by medical robot tasks. The applicant will acquire a solid state-of-the-art interdisciplinary scientific training in the multidisciplinary research fields, such as artificial intelligence, robotics technologies and mechanical design, and that will enable him to generate new scientific knowledge and quickly develop his research career and leadership. The final aim is to consolidate Europe as the world leader in robot and AI areas and to benefit European robotics applications in industry, surgery, and nuclear waste disposition.
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 other engineering and technologies nuclear engineering nuclear waste management
- natural sciences computer and information sciences artificial intelligence
- medical and health sciences clinical medicine surgery
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- social sciences law
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
See all projects funded under this programme
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.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
See all projects funded under this funding scheme
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) H2020-MSCA-IF-2020
See all projects funded under this callCoordinator
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.
BS16 1QY BRISTOL
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.