Firefighting and emergency response often require teams to enter environments that are difficult to assess in advance. Building fires, chemical leaks, collapsed structures, and flooded tunnels can put responders into conditions where visibility is poor, air quality is unknown, and structural integrity cannot be confirmed from the outside. DEEP Robotics, a developer of industrial quadruped robots and embodied AI systems, has been expanding its emergency and firefighting solutions to help rescue teams collect on-site information before people are committed to a scene.
The company's approach centers on its X30 quadruped robot and Lynx M20 wheeled-legged platform, deployed together as part of a reconnaissance-first workflow. Rather than replacing firefighters, the robots are positioned to enter hazardous areas ahead of personnel, transmit environmental data back to a command post, and support ongoing operations with communications relay and equipment transport once the initial assessment is complete.
In a typical deployment, reconnaissance units are the first to move in. The X30 carries a dual-spectrum camera and 3D LiDAR that let operators build a real-time map of the interior, identify likely fire sources, and track how the fire is spreading. Multi-gas sensors flag carbon monoxide, hydrogen cyanide, hydrogen sulfide, and hydrogen chloride as concentrations move into dangerous ranges - the kind of information that traditionally has to wait until a suited-up firefighter can take a reading.
Communications robots follow to keep the network alive. When cellular coverage drops out inside a building, a tunnel, or a basement, the platform sets up a self-organizing mesh so the command feed does not go dark. Suppression and logistics units then move up. A water cannon payload supports both water and foam, with a range of up to 60 meters and a flow rate of 40 liters per second. Logistics units carry hoses, air tanks, and breaching tools forward, following personnel at up to 1.5 meters per second, which reduces the load firefighters have to haul on repeated trips in and out.
The X30 has been through several structured tests outside the lab. In the 2025 High-Rise Firefighting Drill, a multi-robot team combining reconnaissance, suppression, and logistics units carried out smoke-penetrating recon, victim search, hazardous-gas detection, and precision suppression inside a super high-rise scenario - the kind of environment where dense smoke, structural risk, and thin data typically push firefighter exposure to its limit. At the 2025 Emergency Response Competition, the same platform combinations took first and second place across tunnel and confined-fire tracks, working through signal blind spots with reconnaissance-plus-relay configurations.
The platform has also been tested in broader disaster scenarios. In the "Emergency Mission 2024" joint drill, the X30 was deployed alongside UAVs for hazardous-chemical explosion reconnaissance, using its dual-spectrum camera and gas sensors to provide temperature, radiation, and toxic-gas readings that fed into the responding brigade's decision-making. Later exercises expanded that role to include victim search across simulated scaffold collapses, diesel tanker fires, and chemical leaks.
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