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GEMMO LIMITED

How GEMMO LIMITED appears in the EU Horizon funding graph: the research projects it has won money for, the consortia it joined, the EuroSciVoc topics it works in, and the organisations it co-funds projects with.

1 Horizon project, EUR 341k total EC contribution, last active 2029.

Organisation

Country
IE (IE061)
Organisation type
SME
VAT number
IE4116296JH
CORDIS match
high confidence

Horizon projects

EU Horizon research projects GEMMO LIMITED participated in, with its role and the EC contribution recorded for this organisation. Figures cover EU Horizon grants only, not total EU spend.

Autonomous Sampling with Robotics in the Wild for Nature Conservation (WildBotics)

Partner

The need for effective, cost-efficient conservation practices is greater than ever as we are now facing catastrophic loss of Earth’s biodiversity. Current conservation practices, from sample collection to inspection and monitoring, are typically very labour intensive, costly and time-consuming. Collected data are often inaccurate, incomplete or subject to human bias. However, recent advances in robotics and Artificial Intelligence (AI) technologies have shown a great potential for offering practical tools for conservationists. Therefore, the aim of WildBotics is to boost ecosystem conservation practices through innovation in robotics, sensors and AI solutions. Autonomous terrestrial, aquatic, and aerial robots will be used as a unifying platform to elevate the ongoing digital revolution of nature conservation practices and integrate leading-edge conservation ecology and computer science. WildBotics will develop new autonomous long-endurance systems, improve current sensor and software capabilities and combine these advances to create practical solutions for large-scale automated monitoring or collection of samples, thus supporting cutting-edge conservation research. WildBotics will expand current computer vision capabilities in ecology, create practical solutions for monitoring wildlife populations and ecosystems, and offer effective and automated means of gathering and interpreting samples. These challenges will be solved by 12 PhD candidates hosted in 12 recognized and interdisciplinary organizations. A multifaceted research training programme has been designed to educate a new generation of PhDs and provide them with a unique skill set enabling them to tackle the great challenges we face to mitigate the decline of global biodiversity. WildBotics will raise the level of excellence in doctoral programs and simultaneously enhance the career perspectives of the PhDs in both academia and industry.

EC contribution:
EUR 341k
Start:
2026-01-01
End:
2029-12-31
Status:
SIGNED
Scheme:
HORIZON-TMA-MSCA-DN
Call:
HORIZON-MSCA-2024-DN-01
computer visionsensorsecosystemsrobotics

Co-funding partners

Organisations that GEMMO LIMITED has shared one or more EU Horizon projects with, ranked by the number of shared projects. These partners are based outside Ireland.

WILDLIFE RESEARCH AND TRAINING INSTITUTE
1 shared project
BIOCONSULT SH GMBH & CO.KG
1 shared project
VERDENS SKOVE
1 shared project
Ol Pejeta Conservancy Limited
1 shared project
DEEP FORESTRY AB
1 shared project
DMR A/S
1 shared project
INGENIARIUS LDA
1 shared project
GRONLANDS NATURINSTITUT
1 shared project
MUSEO DELLE SCIENZE
1 shared project
FONDAZIONE BRUNO KESSLER
1 shared project
NIBIO - NORSK INSTITUTT FOR BIOOKONOMI
1 shared project
UNIVERSIDAD DE SALAMANCA
1 shared project
UNIVERSITAT KONSTANZ
1 shared project
SYDDANSK UNIVERSITET
1 shared project
UNIVERSITY OF BRISTOL
1 shared project
TECHNISCHE UNIVERSITEIT DELFT
1 shared project
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
1 shared project
AARHUS UNIVERSITET
1 shared project

Research topics

computer visionecosystemsroboticssensors

About this data

This profile is built from the European Commission CORDIS open dataset of EU Horizon research projects, covering the digital and AI research vertical. It records EU Horizon grant participation only and does not represent an organisation's total EU funding. Verify figures against the official record before relying on them.

Source: CORDIS (CC-BY-4.0), snapshot 2026-09-04.cordis.europa.eu

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