{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/safe-coordination-of-human-robot-firefighting","title":"Safe Coordination of Human-Robot Firefighting Teams","arxiv_id":"1903.06847","date":"2019-03-16","proceeding":null,"authors":["Esmaeil Seraj","Andrew Silva","Matthew Gombolay"],"abstract":"Wildfires are destructive and inflict massive, irreversible harm to victims'\nlives and natural resources. Researchers have proposed commissioning unmanned\naerial vehicles (UAVs) to provide firefighters with real-time tracking\ninformation; yet, these UAVs are not able to reason about a fire's track,\nincluding current location, measurement, and uncertainty, as well as\npropagation. We propose a model-predictive, probabilistically safe distributed\ncontrol algorithm for human-robot collaboration in wildfire fighting. The\nproposed algorithm overcomes the limitations of prior work by explicitly\nestimating the latent fire propagation dynamics to enable intelligent,\ntime-extended coordination of the UAVs in support of on-the-ground human\nfirefighters. We derive a novel, analytical bound that enables UAVs to\ndistribute their resources and provides a probabilistic guarantee of the\nhumans' safety while preserving the UAVs' ability to cover an entire fire.","url_abs":"http://arxiv.org/abs/1903.06847v1","url_pdf":"http://arxiv.org/pdf/1903.06847v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"safe-coordination-of-human-robot-firefighting","repo_url":"https://github.com/firefront-tracking/Safe-Coordination-of-Human-Robot-Firefighting-Teams","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok"}}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1903.06847","atlas_url":"https://app.syntology.ai/?focus=1903.06847","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}