
Autonomous Multi-Robot Systems for Real-Time Environmental Monitoring and Disaster Response
DOI:
https://doi.org/10.30564/jees.v8i4.13213Abstract
Autonomous multi-robot systems (MRS) are revolutionizing environmental monitoring and disaster response by enabling real-time data collection, enhanced situational awareness, and efficient task execution in hazardous environments. They are made up of autonomous and collaborative groups of robots that are fitted with high-tech sensors, machine learning algorithms, and communication technologies that enable them to handle a host of tasks, including environmental surveillance and search and rescue missions. The MRS has major strengths compared to the conventional approaches, which are increased response rates, operation in hazardous or even inaccessible locations, and scalability when dealing with high-volume operations. This review examines the core technologies of MRS, which are sensor integration, autonomous navigation, and coordination algorithms, and how they are used in environmental monitoring and managing disasters. Such issues as environmental variability, power constraints, reliability of communication, scalability, and ethical issues are also analyzed. Nevertheless, the problems do not deter the further development of AI, energy systems, and communication standards, which support the functionality of MRS and allow more efficient, adaptable, and effective systems. The next generation of autonomous MRS has huge potential of enhancing disaster resilience, environmental conservation, and management of resources. MRS can be instrumental in reducing the impact of natural disasters, tracking ecosystems, and protecting human life by working around the current constraints.
Keywords:
Autonomous Robots; Multi-Robot Systems; Environmental Monitoring; Disaster Response; Coordination AlgorithmsReferences
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Copyright © 2026 Xiaolan Li, Xinrong Ma, Yanwei Xu

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Xiaolan Li