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Iwa Robotics Unveils HAWK, CANARY and PELICAN: An Autonomous Drone Fleet Equipped to Detect, Diagnose, and Suppress Urban Wildfires
The company says its three-platform system can detect, diagnose and suppress fires without upfront capital costs or lengthy procurement cycles.
- On Saturday, September 5, 2026, Los Angeles-based Iwa Robotics, Inc. introduced a three-platform drone fleet for wildfire response, featuring HAWK for reconnaissance, CANARY for fire diagnosis, and PELICAN for aerial suppression.
- The platforms operate under the Discovery and Resolution Fleet framework as a managed service, providing aircraft, autonomy training, maintenance, and insurance without requiring upfront capital expenditure from fire agencies.
- CEO Mirza Samnani said Iwa's technology was field-hardened alongside working fire crews during active missions, describing the CANARY platform's safety tools as "like your dalmatian in the sky."
- Iwa Robotics is currently conducting its second cross-country roadshow, with field demonstrations scheduled for fire and public safety agencies across eight states.
- Purpose-Built for wildland-urban interface zones, Iwa's aircraft are piloted autonomously by fire crews in the field, operating under the company's mandate to be "above every emergency.
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32 Articles
Iwa Robotics Unveils HAWK, CANARY and PELICAN: An Autonomous Drone Fleet Equipped to Detect, Diagnose, and Suppress Urban Wildfires
Robotics company pairs long-range detection, real-time fire diagnostics, and precision aerial suppression into a single dispatchable system — operated by fire departments as an autonomous aerial fleet.
·Indiana, United States
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Iwa Robotics Unveils HAWK, CANARY and PELICAN: An Autonomous Drone Fleet Equipped to Detect, Diagnose, an
Robotics company pairs long-range detection, real-time fire diagnostics, and precision aerial suppression into a single dispatchable system — operated by fire departments as an autonomous aerial fleet.LOS ANGELES, Sept.
·Detroit, United States
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Total News Sources32
Leaning Left5Leaning Right1Center22Last UpdatedBias Distribution78% Center
Bias Distribution
- 78% of the sources are Center
78% Center
L 18%
C 78%
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