Economic 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.

Dankevych, A.

dc.contributor.author	Dankevych, A.
dc.date.accessioned	2026-10-06T09:14:01Z
dc.date.available	2026-10-06T09:14:01Z
dc.date.issued	2026
dc.identifier.uri	https://eztuir.ztu.edu.ua/123456789/9216
dc.language.iso	en	uk_UA
dc.subject	Artificial Intelligence	uk_UA
dc.subject	Robotics	uk_UA
dc.subject	Biotechnology	uk_UA
dc.subject	Digital Technologies	uk_UA
dc.subject	Adaptive Systems	uk_UA
dc.subject	Digital Twins	uk_UA
dc.subject	Data-Driven Decision-Making	uk_UA
dc.subject	Rare Earth Elements	uk_UA
dc.subject	Critical Raw Materials	uk_UA
dc.subject	Environmental Restoration	uk_UA
dc.subject	Economic Assessment	uk_UA
dc.subject	Investment Management	uk_UA
dc.subject	Innovation Management	uk_UA
dc.subject	Resource Efficiency	uk_UA
dc.subject	International Technology Cooperation	uk_UA
dc.title	Economic 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.type	Other	uk_UA
dc.description.abstracten	This 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