1. Електронний архів Державного університету «Житомирська політехніка»
  2. Наукові публікації
  3. Викладачі університету
Please use this identifier to cite or link to this item: https://eztuir.ztu.edu.ua/123456789/9216
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dc.contributor.authorDankevych, A.-
dc.date.accessioned2026-10-06T09:14:01Z-
dc.date.available2026-10-06T09:14:01Z-
dc.date.issued2026-
dc.identifier.urihttps://eztuir.ztu.edu.ua/123456789/9216-
dc.language.isoenuk_UA
dc.subjectArtificial Intelligenceuk_UA
dc.subjectRoboticsuk_UA
dc.subjectBiotechnologyuk_UA
dc.subjectDigital Technologiesuk_UA
dc.subjectAdaptive Systemsuk_UA
dc.subjectDigital Twinsuk_UA
dc.subjectData-Driven Decision-Makinguk_UA
dc.subjectRare Earth Elementsuk_UA
dc.subjectCritical Raw Materialsuk_UA
dc.subjectEnvironmental Restorationuk_UA
dc.subjectEconomic Assessmentuk_UA
dc.subjectInvestment Managementuk_UA
dc.subjectInnovation Managementuk_UA
dc.subjectResource Efficiencyuk_UA
dc.subjectInternational Technology Cooperationuk_UA
dc.titleEconomic and Management Principles of Integrating Robotics, Artificial Intelligence, and Biotechnology into AEROVERTA International Innovation Initiatives: A Case Study of AEROVERTA REE and the Biological Remediation and Robotic Restoration Project.uk_UA
dc.typeOtheruk_UA
dc.description.abstractenThis paper examines the economic, investment, and management dimensions of prospective international technology initiatives discussed within the activities of AEROVERTA ROBOTICS SAS at AIM 2026 (Artificial Intelligence Marseille), held on 24–25 September 2026 in Marseille, France. The analysis focuses on two initiatives: AEROVERTA REE, which envisages an autonomous modular system for the exploration, extraction, and processing of rare earth elements, and the Biological Remediation and Robotic Restoration Project, which integrates biotechnology, robotic systems, and digital monitoring for the restoration of contaminated areas. A key conceptual premise is the transition from isolated technological solutions toward an integrated adaptive system based on the continuous cycle “Observe – Measure – Diagnose – Understand – Decide – Act – Restore.” Within this framework, artificial intelligence, digital technologies, robotics, biotechnology, sensors, UAVs, laboratory analysis, digital twins, and continuous monitoring are considered complementary elements of a data-driven decision-making and management architecture. The paper highlights the importance of economic models, investment assessment, resource efficiency, technological risk management, environmental responsibility, and scalability in the development of such initiatives. It also considers professional discussions and B2B interactions at AIM 2026 as a basis for further international cooperation and technology-oriented partnerships. The analysis demonstrates the potential of an interdisciplinary approach that connects economics, public management, artificial intelligence, robotics, biotechnology, and environmental restoration, while creating opportunities for the involvement of academic expertise from the National University of Food Technologies and Zhytomyr Polytechnic State University in international innovation and research cooperation.uk_UA
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