TALOS | roboTics and Artificial intelligence Living labs improving Operations in PV Scenarios

Summary
TALOS will develop and demonstrate world-class robotics solutions for different photovoltaic (PV) energy operating scenarios – land-based, floating, and agriPV, promoting innovation in both the energy and agriculture sectors. TALOS will demonstrate the added value of robotics and their potential in reducing greenhouse gas (GHG) emissions (>450ton/year), minimising wasted resources (up to 35% water saved), lowering operation and maintenance (O&M) costs (up to 5%), and optimising human-robot and robot-robot collaboration to reduce humans' exposure to risky environments. Dangerous, dull, or dirty tasks will be performed autonomously by the TALOS solutions – such as monitoring, inspection, cleaning, and vegetation management, where robust robotics solutions will be developed for all PV scenarios and demonstrated to show increasing PV plant performance ratio up to 10%, reducing the risk exposure of O&M workers by 90% or the human burden of monitoring crops by 90% in the demonstration scenarios, allowing feasible inspection periods to be 24/7. A multi-robot platform and recommendation system will demonstrate >30 robot-robot interactions, >30 inspections, and human-in-the-loop features and training sessions for end users and workers. Requirements will be co-created with relevant stakeholders and refined for the technology partners within the consortium, as well as for the 9-13 robotics start-ups that will be granted the cascade funding and demonstrated in the test bed scenarios set up by the project.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101119744
Start date: 01-10-2023
End date: 30-09-2026
Total budget - Public funding: 10 520 860,00 Euro - 8 769 661,00 Euro
Cordis data

Original description

TALOS will develop and demonstrate world-class robotics solutions for different photovoltaic (PV) energy operating scenarios – land-based, floating, and agriPV, promoting innovation in both the energy and agriculture sectors. TALOS will demonstrate the added value of robotics and their potential in reducing greenhouse gas (GHG) emissions (>450ton/year), minimising wasted resources (up to 35% water saved), lowering operation and maintenance (O&M) costs (up to 5%), and optimising human-robot and robot-robot collaboration to reduce humans' exposure to risky environments. Dangerous, dull, or dirty tasks will be performed autonomously by the TALOS solutions – such as monitoring, inspection, cleaning, and vegetation management, where robust robotics solutions will be developed for all PV scenarios and demonstrated to show increasing PV plant performance ratio up to 10%, reducing the risk exposure of O&M workers by 90% or the human burden of monitoring crops by 90% in the demonstration scenarios, allowing feasible inspection periods to be 24/7. A multi-robot platform and recommendation system will demonstrate >30 robot-robot interactions, >30 inspections, and human-in-the-loop features and training sessions for end users and workers. Requirements will be co-created with relevant stakeholders and refined for the technology partners within the consortium, as well as for the 9-13 robotics start-ups that will be granted the cascade funding and demonstrated in the test bed scenarios set up by the project.

Status

SIGNED

Call topic

HORIZON-CL4-2022-DIGITAL-EMERGING-02-07

Update Date

31-07-2023
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Artificial Intelligence, Data and Robotics Partnership (ADR)
ADR Partnership Call 2022
HORIZON-CL4-2022-DIGITAL-EMERGING-02-07 Increased robotics capabilities demonstrated in key sectors (AI, Data and Robotics Partnership) (IA)
Horizon Europe
HORIZON.2 Global Challenges and European Industrial Competitiveness
HORIZON.2.4 Digital, Industry and Space
HORIZON.2.4.0 Cross-cutting call topics
HORIZON-CL4-2022-DIGITAL-EMERGING-02
HORIZON-CL4-2022-DIGITAL-EMERGING-02-07 Increased robotics capabilities demonstrated in key sectors (AI, Data and Robotics Partnership) (IA)
HORIZON.2.4.5 Artificial Intelligence and Robotics
HORIZON-CL4-2022-DIGITAL-EMERGING-02
HORIZON-CL4-2022-DIGITAL-EMERGING-02-07 Increased robotics capabilities demonstrated in key sectors (AI, Data and Robotics Partnership) (IA)