OmniDroneX: An LLM-Assisted Holistic Drone-as-a-Service Ecosystem

I-Ling Yen; Akeem Mohammed; Farokh Bastani; San-Yih Hwang

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arXiv · 2606.17510

OmniDroneX: An LLM-Assisted Holistic Drone-as-a-Service Ecosystem

I-Ling Yen·Akeem Mohammed·Farokh Bastani·San-Yih Hwang

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Abstract

Despite rapid advances in UAV technologies, current deployments remain limited due to several gaps in UAV systems research. To address these challenges, we propose OmniDroneX, a unified Drone-as-a-Service ecosystem, in which drones are transitioned from fixed function platforms into dynamically composable entities that can be integrated with external infrastructures to offer omni-capabilities. OmniDroneX bridges low-level physical primitives with high-level mission intent through a unified vendor-agnostic interface (libUAV) and a formal physical-service abstraction model (PT-SOA). A core innovation is the diverse application of large language models (LLMs) across multiple layers of the OmniDroneX architecture. LLMs are used to assist in identifying and formalizing primitive device functions and abstract service definitions, supporting automated service composition and workflow generation, and enabling interactive, natural-language mission specification and refinement. OmniDroneX also incorporates important categories of composition techniques that are essential in dynamic UAV systems, including physical layer composition for drone capability augmentation, as well as spatiotemporal, functional, collaborative, exception-aware, and QoS-based service compositions. Collectively, these features allow OmniDroneX to serve as a foundation for scalable, resilient, and self-evolving UAV ecosystems operating in complex and dynamic environments.

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I-Ling Yen, Akeem Mohammed, Farokh Bastani, San-Yih Hwang. 2026-06-16. OmniDroneX: An LLM-Assisted Holistic Drone-as-a-Service Ecosystem. https://arxiv.org/abs/2606.17510

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