Multi-Agent Systems (MAS) related data analytics in the Hybrid Aerial Underwater Robotic System (HAUCS)

Srijita Mukherjee; Bing Ouyang; Kamesh Namuduri; Paul S. Wills

doi:10.1117/12.2588710

12 April 2021 Multi-Agent Systems (MAS) related data analytics in the Hybrid Aerial Underwater Robotic System (HAUCS)

Srijita Mukherjee, Bing Ouyang, Kamesh Namuduri, Paul S. Wills

Proceedings Volume 11730, Big Data III: Learning, Analytics, and Applications; 117300E (2021) https://doi.org/10.1117/12.2588710
Event: SPIE Defense + Commercial Sensing, 2021, Online Only

Abstract

This paper investigates Multi-Agent Systems (MAS) related data analytics. MAS is used for modeling complex, decentralized, and real-world tasks such as package delivery by Unmanned Aircraft Systems (UAS), environmental monitoring, precision agriculture, security, disaster management, UAS Traffic Management (UTM) among others. Fish farming is one such area, where the deployment of UAS platforms could drastically improve the current labor-intensive and resource-constraint operations. This research addresses the design of mission control and path planning strategies for UASs deployed on the fish farm. The proposed strategy enables periodic monitoring of mission-critical parameters. A control strategy is designed to address the tracking control of the UAS under wind conditions.

Conference Presentation

Citation Download Citation

Srijita Mukherjee, Bing Ouyang, Kamesh Namuduri, and Paul S. Wills "Multi-Agent Systems (MAS) related data analytics in the Hybrid Aerial Underwater Robotic System (HAUCS)", Proc. SPIE 11730, Big Data III: Learning, Analytics, and Applications, 117300E (12 April 2021); https://doi.org/10.1117/12.2588710

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