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This research shifts the focus from ad hoc drone usage to establishing repeatable collaboration patterns for emergency services through a new framework called DroneLets. By formalizing interaction requirements between human operators and autonomous agents, it provides a structured foundation for scaling embodied AI in high-stakes field operations like reconnaissance and post-disaster monitoring. The work bridges robotics engineering with collaborative design methodologies to ensure reliable integration of drones into existing workflows.
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What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

From Ad Hoc Pilots to Repeatable Patterns: Structuring Drone Collaboration in Emergency Services with DroneLets

arXiv2 min read

arXiv:2606.17839v1 Announce Type: new Abstract: Drones hold promise for supporting emergency services, but their integration into workflows remains ad hoc and coordination-intensive. This paper addresses two research questions: how emergency teams want to collaborate with drones, and how to formalize these collaborations into repeatable processes. Based on four field trials and 95 interviews, we derive 44 interaction patterns grouped into 10 meta-patterns reflecting operational needs such as reconnaissance, communication, and logistical support. To structure these practices, we introduce DroneLets - a new class of design artifacts that extend Collaboration Engineering to embodied agents. DroneLets capture setup requirements, drone capabilities, environmental constraints, and coordinated actions across human and drone actors. They offer a modular framework for designing repeatable, scalable collaboration processes in emergency services, illustrated through patterns such as broadcasting to bystanders and post-fire monitoring. This work expands the scope of CE and provides a structured foundation for integrating autonomous drones into high-stakes field operations.

Abstract:Drones hold promise for supporting emergency services, but their integration into workflows remains ad hoc and coordination-intensive. This paper addresses two research questions: how emergency teams want to collaborate with drones, and how to formalize these collaborations into repeatable processes. Based on four field trials and 95 interviews, we derive 44 interaction patterns grouped into 10 meta-patterns reflecting operational needs such as reconnaissance, communication, and logistical support. To structure these practices, we introduce DroneLets - a new class of design artifacts that extend Collaboration Engineering to embodied agents. DroneLets capture setup requirements, drone capabilities, environmental constraints, and coordinated actions across human and drone actors. They offer a modular framework for designing repeatable, scalable collaboration processes in emergency services, illustrated through patterns such as broadcasting to bystanders and post-fire monitoring. This work expands the scope of CE and provides a structured foundation for integrating autonomous drones into high-stakes field operations.

Robotics (cs.RO); Human-Computer Interaction (cs.HC)

arXiv:2606.17839 [cs.RO]

(or arXiv:2606.17839v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2606.17839 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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Full text under the publisher's open licence · 245 words

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