Objective
Manipulating deformable objects, such as cables, garments, bags, sponges, or food items, is an essential and recurring part of human daily routines. We interact with such objects with seamless ease, usually unaware of the complex perception, planning, and control machinery naturally provided by our brain and body to do so. In contrast, the ability to robustly manipulate deformable objects remains a critical frontier in robotics, often being considered as one of the most important challenges in robotic manipulation.
The tenet of GEOMANIP is that the key to a revolution in robotic manipulation of deformable objects will come from rethinking their representations to uncover and exploit their fundamental geometric nature. GEOMANIP proposes a paradigm shift that integrates the differential geometric structure of deformable objects into novel continuum physics-inspired neural representations. Specifically, we will build upon the differential geometry underlying the governing principles of continuum mechanics to design a new class of physics-inspired neural networks that generalize across a broad spectrum of deformable object types, structures, and properties. These representations will serve as the bedrock of a novel physically-grounded manipulation pipeline including perception, policy learning, and control, providing robots with advanced abilities to autonomously manipulate a wide variety of deformable objects. By uncovering the geometric nature of deformable object manipulation, GEOMANIP will reconcile the accuracy and generalizability of continuum mechanics with the expressivity and versatility of data-driven deep learning architectures, thus overcoming one significant and long-standing barrier in robotics.
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.
- social sciences political sciences political transitions revolutions
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
- natural sciences mathematics pure mathematics geometry
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- natural sciences computer and information sciences artificial intelligence computational intelligence
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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.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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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
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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-ERC - HORIZON ERC Grants
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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) ERC-2026-STG
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100 44 Stockholm
Sweden
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