arXiv:2606.14219v1 Announce Type: cross Abstract: Agentic AI can support unmanned aerial vehicle (UAV) autonomy by providing high-level recovery reasoning when local waypoint- or setpoint-based execution encounters blocked passages, repeated no-progress behavior, or mission-level ambiguity. On physical UAVs, however, remote reasoning is most useful when it is invoked selectively, since each call introduces latency, resource cost, backend uncertainty, and a need to validate the returned decision. This paper presents Persistent Mission Runtime (PMR), a UAV recovery framework that keeps the missi
Advances in AI agent architectures and real-world robotics deployment are converging, necessitating robust solutions for autonomous system recovery and continuous operation.
This development allows for more resilient and effective autonomous UAV operations, crucial for both commercial and military applications by addressing operational uncertainties.
UAVs can now leverage agentic AI for sophisticated recovery actions while mitigating the performance overhead typically associated with remote decision-making.
- · Defence contractors
- · UAV manufacturers
- · Logistics and delivery companies
- · AI robotics firms
- · Manual inspection services
- · Legacy drone software providers
Increased reliability and autonomy of UAV systems in complex and dynamic environments.
Accelerated adoption of UAVs for critical infrastructure inspection, surveillance, and automated delivery.
Reduced need for human oversight in certain UAV operations, potentially shifting workforce requirements and training.
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Read at arXiv cs.AI