Unmanned Aerial Vehicle Systems

2 researchers across 2 institutions

2 Researchers
2 Institutions
0 Grant PIs
0 High Impact

Research in unmanned aerial vehicle (UAV) systems explores the design, development, and application of autonomous and remotely piloted aircraft. Investigations encompass areas such as advanced sensor integration for data collection, navigation and control algorithms for enhanced maneuverability, and payload development for specific mission requirements. This includes research into novel airframe designs, propulsion systems, and the integration of artificial intelligence for decision-making in complex environments. The field also addresses challenges related to communication, power management, and the safe and efficient operation of UAV fleets.

This area of study holds particular relevance for Arkansas's diverse economic landscape. Applications extend to precision agriculture, where UAVs can monitor crop health and optimize resource allocation, supporting the state's significant agricultural sector. Furthermore, UAV technology offers solutions for infrastructure inspection, particularly for the state's extensive network of bridges and utilities, and for environmental monitoring, aiding in the management of natural resources like forests and waterways. Public safety applications, including disaster response and search and rescue operations, are also key areas of focus.

This interdisciplinary field draws upon expertise in aerospace engineering, materials science, and acoustic engineering. Research extends across multiple institutions within the state, fostering collaborative efforts in advancing UAV capabilities and their practical implementation.

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Top Researchers

Name Institution h-index Citations Career Stage Badges
Trigun Dinesh Maroo UA Little Rock 1 4
James Sewell Arkansas Tech University 1 1

Strategic Outlook

Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW

Global trajectory
239,915 works in 2025
-9.2% CAGR 2018–2025
Leadership concentration
0.4% held by global top 5 institutions
Fragmented HHI 0
Arkansas position
Arkansas not in global top 100
No AR institution among the top-100 contributors to this topic over the 2018–2025 window.

Top US institutions in this area

  1. 1 International Society of Automation 30,820
  2. 2 Institut National de la Recherche Agronomique de Tunisie 30,812
  3. 3 Public Health Dayton & Montgomery County 604
  4. 4 National Society for Histotechnology 334
  5. 5 Dynamic Systems (United States) 153
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