What question did this study set out to answer?

To synthesize recent advances and establish a comprehensive classification framework evaluating artificial intelligence integration across unmanned aerial vehicle communication networks and autonomous flight systems.

December 11, 2025Artificial Intelligence ReviewOpen Access

Flight into the future: a holistic review of AI-trends, vision, and challenges in drones technology

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Authors

SAShakeel AhmadUniversity of Lahore RARajan AhmadUniversity of Sargodha AAAhmad Sami Al‐ShamaylehAjman University

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Implication

Literature review reveals deep and reinforcement learning optimize unmanned aerial vehicle networks, highlighting persistent challenges in energy efficiency and swarm management.

Key Points

To synthesize recent advances and establish a comprehensive classification framework evaluating artificial intelligence integration across unmanned aerial vehicle communication networks and autonomous flight systems.
Reviewed nearly 250 research papers published between 2015 and 2024 evaluating UAV network design, communication protocols, energy utilization, and algorithmic optimization.
Constructed a unified AI-driven classification framework organizing UAV technologies across five core dimensions: mission adaptability, autonomy level, communication intelligence, scalability, and deployment context.
Deep learning and reinforcement learning were identified as the predominant computational approaches for enhancing routing protocols, flight trajectory planning, resource distribution, and network latency reduction.
Persistent technical bottlenecks center on real-time energy conservation, network security and privacy, regulatory policy hurdles, and the need for lightweight AI models to manage multi-drone swarms.

Cite This Study

Ahmad et al. (2025) studied this question.

synapsesocial.com/papers/6a0ecef3aa1655e5fb22d3bc https://doi.org/10.1007/s10462-025-11449-7

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Implication

Literature review reveals deep and reinforcement learning optimize unmanned aerial vehicle networks, highlighting persistent challenges in energy efficiency and swarm management.

Flight into the future: a holistic review of AI-trends, vision, and challenges in drones technology

Discussion

Member takes

Implication

Key Points

Cite This Study

Flight into the future: a holistic review of AI-trends, vision, and challenges in drones technology

Discussion

Member takes

Implication

Key Points

Cite This Study

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