Project description
Autonomous mobile robots for routine nurse tasks
Studies indicate that nurses dedicate a substantial portion of their workday, approximately 37 %, to tasks involving food delivery, medication distribution and laundry management. By eliminating these straightforward yet time-consuming routine responsibilities, nurses can dedicate more time to providing high-quality care to their patients. The Danish startup Yuman is actively developing distinctive, practical and artificial intelligence-powered algorithms for mobile robots designed to aid nurses in various tasks. The EU-funded Yuman project will benefit from the Women TechEU grant, which will enable the team to create a minimum viable product and establish a robust technical foundation. The project’s primary objective is to conduct hospital tests and advance the technology, thereby demonstrating its commercial feasibility and suitability for the market.
Objective
Yuman is a deep-tech Danish startup developing healthcare-centred mobile robots, unique in the global market, specifically designed to assist nurses by automating the transport of small items in hospital wards, like food, laundry, or medical equipment. Unlike other robots, we are creating a practical solution around the nurses’ needs, combined with state-of-the-art AI algorithms that allow our robots to be intelligent and assist nurses in a very diversified variety of transport tasks.
Our research shows that on average, nurses spend 37% of their time transporting food, medicine, and laundry. This causes them a lot of stress and work pressure. Our goal is to free up nurses from these simple, but time-consuming routine tasks, so they can spend more time with their patients.
Yuman was founded by Sara Lopez (CEO), Honours Computer Scientist, experienced in software engineering, AI, human-robot interaction, and computer vision. Sara is a young woman entrepreneur driven by integrating robotic technology into the healthcare systems. Sara thrives on solving the global shortage of nurses using state-of-the-start robot technology together with her team of dedicated and experienced engineers at Yuman.
The Women TechEU grant of EUR 75.000 will help us build our MVP and create a robust technical foundation. It will allow us to conduct hospital tests and mature our technology from TRL 4 to TRL 7. With the successful test in hospitals, the Women TechEU grant would have helped us prove its commercial feasibility and product market fit.
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.
- natural sciences computer and information sciences software
- social sciences economics and business business and management entrepreneurship
- natural sciences computer and information sciences artificial intelligence computer vision
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.
-
HORIZON.3.2 - European innovation ecosystems
MAIN PROGRAMME
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.
HORIZON-CSA - HORIZON Coordination and Support Actions
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) HORIZON-EIE-2022-SCALEUP-02
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.
2200 Kobenhavn N
Denmark
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.