News & Updates
Field experiments, conference trips, and milestones from the NAMUR project — natural-language assisted multirobot control for search and rescue.
Our next NAMUR paper connects multi-UAV search with live victim detection and UGV deployment — one operator voice-commands the whole team, validated in 12 outdoor experiments.
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Autonomous drone fleets and AI for persistent monitoring of Denmark's critical infrastructure at Amagerværket — measuring biomass, perimeter intrusion detection, and multi-drone coordination with SDU, AAU, HOFOR, Ørsted, and Robotto.ai.
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Three Bristol Aerospace undergraduates presented their third-year projects extending and deploying SAREnv — our shared wilderness search-and-rescue simulation environment.
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A platform-agnostic hierarchical LLM system that coordinates aerial and ground vehicles through everyday speech — near-constant token cost from 5 to 500 drones and 92.9% task success.
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An LLM-enabled voice-command interface on a ground robot for SAR logistics — validated with over 150 first responders in six parallel missions, Best Paper finalist at IEEE SSRR 2025.
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We open-sourced SAREnv — 60 high-resolution geospatial scenarios, baseline planning algorithms, and evaluation metrics for UAV-based wilderness SAR planning.
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The project this site is named after: four years of research on combining LLMs with logic-based multirobot planning so a single operator can command a drone team in natural language.