Project description
Autonomous indoor robots for efficient logistics
Τhe demand for robots is increasing. The market requires sophisticated mobile robots equipped with remote monitoring and data sharing capabilities. With this in mind, the EU-funded AdvoBots project introduces fully autonomous mobile indoor robots designed to address inefficiencies in picking and labour losses within logistics and e-commerce warehouses. These robots use advanced software, enabling monitoring through a sophisticated web interface, remote accident support, data analysis, and seamless data exchange with the warehouse management system. The AI-based solution incorporates mapping, positioning, path planning, and autonomous driving capabilities, all made possible by leveraging cutting-edge technologies such as SLAM (Simultaneous Localisation and Mapping) and FMS (Fleet Management System).
Objective
Advoard Robotics produces fully autonomous mobile robots that are aware of each other's location and route information, and develops software to prevent inefficient picking and labor losses in logistics and e-commerce warehouses. These robots can be monitored through an advanced web interface; remote accident support and data analysis can be done. At the same time, data can be exchanged with the warehouse management system. This solution includes mapping, positioning, path planning, autonomous driving capability of each robot and sharing this information. Robots moving in fleets work with maximum efficiency at minimum route length thanks to algorithms based on artificial intelligence.
The technology we have developed includes mapping, positioning, path planning, autonomous driving capability of each robot and sharing this information. Robots that move in fleets work with maximum efficiency at minimum route length thanks to algorithms based on artificial intelligence. The most important technologies used are SLAM (simultaneous positioning and mapping) and FMS (fleet management system). The SLAM process uses a complex set of calculations, algorithms, and sensor inputs to navigate a previously unknown environment or to revise the map of a previously known environment and find a location. Fleet Management System (FMS) is applied to manage and control more than one robot working within the units. FMS provides complete, centralized and decentralized management of the robot fleet, allowing users to manage different mobile robotic systems from a variety of devices via standard communication protocols. In FMS, robots share route and location information with each other. In the light of this information, our algorithms determine the routes in which the robots will perform their tasks without colliding, according to our traffic rule sets.
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 artificial intelligence
- natural sciences computer and information sciences data science
- social sciences economics and business business and management commerce e-commerce
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
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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.3.2 - European innovation ecosystems
MAIN PROGRAMME
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Topic(s)
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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
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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-EIE-2022-SCALEUP-02
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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.
35471 İzmir
Türkiye
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.