Project description
Robotics for biodiversity conservation
Biodiversity loss is a reality. Traditional conservation methods can be expensive and labour-intensive. Supported by the Marie Skłodowska-Curie Actions programme, the WildBotics project will use robotics, sensors, and AI to develop large-scale monitoring. Autonomous robots that work on land, in water, and in the air will enable large-scale monitoring, sample collection, and data analysis with better accuracy and efficiency. This is a practical solution for wildlife monitoring and ecological research. The project will offer training in leading institutions, equipping a new generation of experts the skills to address biodiversity loss, thereby improving conservation outcomes.
Objective
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.
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 political sciences political transitions revolutions
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- natural sciences biological sciences ecology ecosystems
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
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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.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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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-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks
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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) HORIZON-MSCA-2024-DN-01
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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.
38122 Trento
Italy
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.