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Cognitive robotic tools for human-centered small-scale multi-robot operations

Project description

Small AI-powered robots for a new future

Machines and robots commonly used in industrial processes are usually large, heavy and hard to use, making it difficult to address a wide range of applications at smaller scales. The EU-funded REGO project will address this challenge by introducing a novel set of AI-powered small-sized robots. Swarms of such robots are uniquely modular and adaptable, and they are able to carry out complex tasks as a coordinated team. Examples include medical interventions and water treatment, which require both careful monitoring and efficiency. Expert human operators can control the actions of such robotic teams using intuitive consoles and natural information feedback.

Objective

Robots are still often regarded as large machines with links, gears, and electric motors, autonomously interacting with the surrounding environment. Despite the great research efforts in robotics and human-robot interaction (HRI), the way we design, use, and control robots has not fundamentally changed in the past 20 years. We see in small-scale wireless multi-robot systems and cognitive HRI a revolutionary answer to nowadays robots limitations. Instead of large, tethered machines, that are difficult for the human user to control, REGO proposes an innovative set of AI-powered, modular, microsized swarms of robots. They are wirelessly steered by electromagnetic fields as well as able to react to other external stimuli, and then naturally controlled by humans through intuitive dexterous interfaces and interaction techniques. Taking advantage of AI multi-robot control strategies, these robots can team up and collaborate to fulfill complex tasks in a robust and unprecedented flexible way. By exploiting multisensory interaction techniques and cognitive shared control, the operator will achieve an unparalleled level of seamless interaction and continuous collaboration with the robotic team. According to the application at hand, the robotic team will feature different task-specific characteristics (e.g. biocompatibility for medical procedures, biodenitrification for cleaning water, ability to carry drugs to fight infections) and be dispatched through various delivery systems, including a stimuli-responsive milli-scale wireless robotic carrier developed within the project. To achieve this revolution, REGO will develop magnetic multi-robot motion control systems, autonomous swarm control techniques for micro-sized robots, human-robot haptic-centered interfaces, and cognitive shared-control techniques. REGO enables the next generation of AI-powered interactive small-size multi-robots systems, with increased capabilities to work with each other and their human operators.

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Keywords

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Programme(s)

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Topic(s)

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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.

HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-CL4-2021-DIGITAL-EMERGING-01

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Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

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.

€ 936 683,75
Address
RUE MICHEL ANGE 3
75794 PARIS
France

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Region
Ile-de-France Ile-de-France Hauts-de-Seine
Activity type
Research Organisations
Links
Total cost

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.

€ 1 120 907,50

Participants (7)

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