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Development of innovative tools, processes, equipment and technologies through responses to disasters and emergencies for search and rescue in hazardous conditions

eu HORIZON-CL3-2026-01-DRS-03 · Horizon Europe (HORIZON)

Statusopen
Opens06 May 2026
Deadline05 Nov 2026 — 54 days
ActionHORIZON Innovation Actions
Official pagehttps://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunit…
Fetched2026-09-11 04:00:47+00:00

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Scope

Expected Outcome: Project results are expected to contribute to some or all of the following expected outcomes: Creation of cutting-edge tools, processes, equipment and technologies to enhance disaster and emergency response capabilities for various practitioners as well as for assets, such as vehicles, aircraft, and heavy equipment; Taking into consideration existing technologies, development of autonomous drones, robotics, and other technologies specifically designed for emergency medical response and search and rescue operations in hazardous conditions such as wildfires, earthquakes and large-scale events; Improvement of response efficiency and safety for survivors and emergency practitioners through the adoption of advanced, technology-driven solutions in disaster scenarios; Consider needs of existing EU-level capacities, emergency reserves, and stockpiling in the deployment of the assets and being able to move them. Scope: The scope of this topic is the development of innovative tools, equipment, and technologies to enhance the capabilities of emergency responders operating in complex and hazardous disaster environments. By leveraging advancements in smart protective equipment, in robotics, autonomous systems, remote sensing, communication and human sensor technologies, the aim is to improve the efficiency, safety, and effectiveness of emergency medical response and search and rescue operations, particularly in high-risk scenarios, such as wildfires, earthquakes and large-scale trauma events. Proposals should explore the design, testing, and validation of innovative solutions capable of performing critical tasks in disaster-stricken areas. These technologies should be tailored to operate in extreme conditions, including high temperatures, unstable terrains, and low-visibility environments and beneficial to all individuals regardless of their age, gender or ability. Research should address challenges related to autonomous navigation, AI-driven decision-making, real-time situational awareness, and seamless integration with existing command-and-control systems used by disaster management. Collaboration of different practitioners should be supported to support proper market uptake. Efforts should be made to enhance interoperability and data-sharing capabilities between various platforms, emergency response teams, and crisis management systems. A key aspect of this research should be the practical deployment and validation of these technologies through field exercises and simulations in real-world disaster scenarios. User-driven design approaches, priori…

What consortia for this call have looked like

2 projects have been funded under this line (HORIZON-CL3-DRS-03) in Horizon Europe and H2020. This is what they were made of — not a recommendation, just what the Commission signed.

17partners, typically
range 14–17
8countries per consortium
12 seen across all of them
31organisations in total
across those projects

The mix of organisations

9 companies
8 research organisations
5 other organisations
5 public bodies
4 universities

Who coordinated them

Coordinating an EU project is a demanding, specific job. These organisations have done it on this topic line before.

Ibatech Tecnologia Sl · ES Draxis Research Ventures Astiki Mi Kerdoskopik · EL

This is the shape, not the consortium. It says how many partners these projects had and what kinds of organisation were in them. It does not know whether your idea needs the same mix, who is available, who is already committed elsewhere, or how the work and the budget should be divided. Those are judgement calls on a specific proposal, and no amount of public data answers them.

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