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Survey on Path Planning for UAVs in Healthcare Missions.
Ahmad Merei1, Hamid Mcheick2, Alia Ghaddar3,4
1Department of Computer Science and Mathematics, University of Quebec at Chicoutimi, 555 University Boulevard, Chicoutimi, G7H 2B1, Quebec, Canada. ahmad.merei1@uqac.ca.
This review explores unmanned aerial vehicles (UAVs) for healthcare logistics, focusing on path planning. Research highlights UAVs
Area of Science:
- Healthcare logistics
- Robotics and Automation
- Transportation Engineering
Background:
- Unmanned aerial vehicles (UAVs) have emerged as critical tools in healthcare, particularly during the COVID-19 pandemic.
- Their application in medical transportation is being explored for efficient and rapid delivery of essential supplies.
Purpose of the Study:
- To conduct a comprehensive review of state-of-the-art applications and methodologies of UAVs in healthcare.
- To specifically focus on the challenges and solutions related to UAV path planning for medical transportation.
Main Methods:
- Systematic literature review categorizing studies by mission type, challenges, and performance metrics.
- Analysis of existing research on UAV path planning in the healthcare context.
Main Results:
- Identified key challenges in UAV healthcare missions, including delivery range limitations.
- Highlighted the importance of addressing path planning problems for successful UAV deployment.
- Summarized recent advancements and solutions in UAV path planning for medical logistics.
Conclusions:
- UAVs show significant potential for revolutionizing healthcare transportation.
- Further research in realistic environments is crucial to validate UAV usability and feasibility.
- Addressing path planning and operational constraints is key to unlocking the full potential of UAVs in healthcare.
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