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Unmanned Systems Technologies at the Grand Challenge UK - 2008

Some of the concepts evaluated during the UK Grand Challenge competition focused on different combination of aerial and ground autonmous systems operated in synchronization and mutual support. Others focused on ground swarms, constellations and formations of ground vehicles or unmanned hoevring aerial vehicles. (more...)


One of the aerial platforms developed by the Stellar team for the UK 2008 Grand Challenge. Photo: UK MoD
The London based Barnard Microsystems team employed two types of remotely controlled model helicopters acting as aerial scouts. A different light weight ‘tricopter’, capable of hovering and perching whilst surveying the area of interest with imaging sensors was developed by Students from Middlesex University as part of the I-Spy team (photo). A different helicopter platform was employed by team members from Thales and the universities of Reading, Cranfield, Exeter and Loughborough and three schools from the Science, Technology, Engineering and Mathematics Network (STEMNET). They have used commercially available helicopters and two custom built ground vehicles (photo) equipped with audio, visual and thermal imaging sensors and laser range finder to detect potential threats.

An operational concept developed by the Stellar team, depicting  coordinated, autonomous  operation by aerial and airborne platform under the SATURN coordination and mission control system. Photo: Team Stellar.A combination of air and ground systems was employed by the Stellar team, using multiple systems flying at different altitudes (photo above) as well as a ground autonomous vehicle, all controlled through the SATURN (Sensing & Autonomous Tactical Urban Reconnaissance Network) and guided autonomously by mission planning software. Comprising Stellar Research Services Ltd, Blue Bear Systems Research Ltd, SELEX Sensors and Airborne Systems, Cranfield University, Marshall SV Systems Design Group and TRW Conekt, this.

The Silicon Valley team introduced a combination of vehicles including a remote controlled UAV, a glider and two ‘Moonbuggy’ UGVs (photo) operating autonomously in full synchronization, controlled and managed semi-autonomously from the APHIDS mission management system. The system combines the RoboHumatics principles and tuned image recognition software being developed by the Kingston University, University of Reading, and a novel solution developed by IDUS Consultancy to detect IED command wires. Silicon Valley team members are drawn from Silicon Valley Group, IDUS Consultancy Ltd, Smith Engineering (GB) Ltd (UGV designers Cumbria), and Bruton School for Girls. A matrix of multiple vehicles was demonstrated by the Mindsheet team (photo), employing four unmanned ground vehicles (UGVs) fitted with thermal imaging and motion detectors.

Swarm Systems used a ‘swarm’ of ‘Owls’, four-rotor (quadrotor) micro aerial vehicles (MAV) each weighing less than 1 kg.The Swarm is tasked to rapidly reconnoitre an area. A swarm approach, when compared to an individual approach, brings the benefits of emergent behaviour, in particular robustness to unforeseen events. As Professor Owen Holland at the University of Essex explains: “Swarming has many proven advantages. Most importantly, it can survive unexpected events. If one vehicle is suddenly lost, then the swarm reconfigures itself to complete the task.” The team’s concept is simple. The MIRA Team presented a combination of a 'flying saucer' like UAV and a ground carrier/launcher platform which also operates as an autonomous ground sensory platform. Photo: UK MoDIt uses a swarm of eight quadrotors called ‘Owls’. Their operator uses 3D planning software to swiftly plan and rehearse routes for the Owls over Copehill Down village. The Owls then fly those routes, taking around one thousand high-resolution images. On return, these images are processed by a cluster of ten powerful multi-processor PCs, which analyze each image using the University of Surrey’s threat recognition software. Within minutes, the operator can produce a map of Copehill Down showing the location and type of all recognized threats. Swarm team members drawn from Swarm Systems Ltd, University of Essex, University of Surrey, Orrcam Ltd, Ardware Ltd and Scarzon Ltd.

Members of Team Tumbleweed included the University of Manchester, AV-I Ltd, BAE Systems and MBDA has The unique UAV developed by team Tumbleweed for the Grand Challenge. Photo: Team Tumbleweeddesigned a small six-rotor lightweight UAV, (model is shown on the left) with rotors held in a circular frame (making a spherical ball) and fitted with visual and infra-red sensors. The vehicle is fitted with a stabilized electro-optical sensor system.

MIRA, ERA Technologies, BAE Systems, GFS Projects, University of Warwick and pupils from Royal Grammar School, Guildford formed the Mira team, which presented a combination of a “flying saucer” like UAV and a ground carrier/launcher platform (see photo above) which also operates as an autonomous ground sensor, both equipped with infra-red cameras and laser scanners. Mira also offered a land based platform carrying mainly optical sensors with a tethered aerial camera for situational awareness.

A member of the Locust team prepares to launch one of the micro-UAVs developed by the team for the Grand Challenge. Photo: UK MoDA group of young engineers from the Cortex team, sponsored by QinetiQ designed a two-rotor, highly maneuverable and lightweight winged unmanned air vehicle, (picture) capable of vertical take-off, landing and hovering. The system qualified for the final phase but failed to compete due to technical problems. Another system that failed in the last phase was a pocket-sized, lightweight and easily transportable foam UAVs developed by Team Locust, (see picture above) formed by members of Advanced New Technologies (ANT) Scientific Limited, Portsmouth University and Satmap Systems. (Continued)