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Dragon Runner




Manufacturer: QinetiQ Status: in production Background: the Dragon Runner was originally developed for the US Marine Corps by the Naval Research Laboratory, Carnegie Mellon University's Robotics Institute and Automatika Inc. QinetiQ further developed the Dragon Runner to produce a modular SUGV which can be easily reconfigured in the field. It is the smallest (20-50lb) of QinetiQ's four planned families of UGVs. Improvements include expanding the mission capabilities by providing tracks for mobility, a manipulator arm and gripper add-ons, extending the communication range and standardising vehicle and operator control unit batteries. Dragon Runner can be used for reconnaissance inside buildings, sewers, drainpipes, caves and courtyards, perimeter security using onboard motion and sound detectors, checkpoint security, in-vehicle and under-vehicle inspections and hostage barricade reconnaissance and negotiation. The UK MoD took delivery of the first consignments in late 2009 for deployment to Afghanistan Characteristics: weight: <20lb, Attachments: tracks, kerb tracks, stair tracks, multi-axis manipulator arm, pan-tilt-zoom servo-cam, small unit, sensor system
2019-08-08
QinetiQ Supports NextGen Search and Rescue Missions
QinetiQ collaborates with the UK Maritime and Coastguard Agency (MCA) to investigate how drone technology can strengthen their Search and Rescue missions.
2011-02-18
Solar-charged aircraft to have flown to a world record
A UK solar-powered plane proved itself as the one to break the world record for the longest time spent in the air by an unmanned autonomous vehicle (UAV), after remaining airborne for two weeks.
Reports

The drone market has grown steadily and continuously over the past several years. The technology is here to stay and is becoming more prevalent across numerous industries. But 2020 was a unique year due to Covid-19. Overall, respondents even felt that the changes in business models triggered by the lockdowns would actually have a positive impact on the drone industry in the long run.
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2012-04-05
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