Abstract
This paper explores both the promise and challenges of Vertical Take-Off and Landing (VTOL) UAVs, which blend the hovering ability of multirotor platforms with the extended range and speed of traditional fixed-wing aircraft. These adaptable aircraft are poised to revolutionize sectors including urban air transportation, operations in remote areas, and delivery systems. Yet their development isn’t without hurdles—they face complicated propulsion design issues, require better energy storage solutions, must integrate safely with existing air traffic, and need new urban infrastructure to support their operations. Progress in self-piloting capabilities, artificial intelligence, and clear regulatory guidelines is also crucial for their widespread adoption. Unlocking the full capabilities of VTOL UAVs will demand cooperation between scientists, designers, government officials, and business stakeholders. While these aircraft show remarkable potential, their successful future depends on addressing these challenges through technical innovation, collaborative efforts, and thoughtful regulation.
| Original language | English |
|---|---|
| Title of host publication | 2025 5th International Conference on Emerging Smart Technologies and Applications, eSmarTA 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331585198 |
| DOIs | |
| State | Published - 2025 |
Publication series
| Name | 2025 5th International Conference on Emerging Smart Technologies and Applications, eSmarTA 2025 |
|---|
Bibliographical note
Publisher Copyright:© 2025 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
Keywords
- Autonomous Aerial Robots
- Drones
- eVTOL
- Hybrid Aircraft
- Unmanned Aerial Systems
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Safety, Risk, Reliability and Quality
- Modeling and Simulation
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