Objetivo
SmokeBot is driven by the application needs for robots that operate in domains with restricted visibility. The focus is on civil robots supporting fire brigades in search and rescue missions, e.g. in post-disaster management operations in response to tunnel fires. Existing sensor technology and the related cognitive approaches cannot cope with such demanding conditions. SmokeBot addresses this shortcoming and can thus bring about a step change for robotics. It will deliver software and hardware components which facilitate robot systems to perform under harsh conditions of smoke, dust or fog. This will be demonstrated through integration of the project results in an industrial prototype of a Low Visibility Explorer Robot for providing situational awareness based on a commercial platform from partner TAUR. In close collaboration with TAUR (robotics industry) and end users (FDDO, end users in the advisory group), SmokeBot will crucially improve the abilities of the selected platform, thus increasing safety of rescue staff and European citizens as well as improving the product of a European robotics company in an important market. An even wider impact is expected through the development of a novel sensor unit and the corresponding cognitive approaches. In addition to traditional sensors such as LIDAR and cameras, which are affected by smoke or dust, this sensing unit includes also a novel 3D radar camera, a thermal camera, and high-bandwidth gas sensors. Fusion of sensor modalities will allow the inclusion of measurements from LIDAR and camera into the world model when they occasionally penetrate through e.g. smoke. In addition, we will develop the means to integrate prior knowledge in the form of crude human sketch maps to allow for robust mapping and navigation even under low visibility in a harsh environment. Sensor technology from SmokeBot will result in new products to be brought to market after the project. Software developed will be made available as open source.
Ámbito científico (EuroSciVoc)
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
CORDIS clasifica los proyectos con EuroSciVoc, una taxonomía plurilingüe de ámbitos científicos, mediante un proceso semiautomático basado en técnicas de procesamiento del lenguaje natural.
- ingeniería y tecnologíaingeniería eléctrica, ingeniería electrónica, ingeniería de la informacióningeniería electrónicasensoressensores ópticos
- ciencias naturalesciencias químicasquímica inorgánicacompuestos inorgánicos
- ingeniería y tecnologíaingeniería ambientalgestión ecosistémicaadaptación al cambio climático
- ingeniería y tecnologíaingeniería eléctrica, ingeniería electrónica, ingeniería de la informacióningeniería de la informacióntelecomunicaciónradiotecnologíaradar
- ingeniería y tecnologíaingeniería eléctrica, ingeniería electrónica, ingeniería de la informacióningeniería electrónicarobótica
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Programa(s)
Tema(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2014-1
Régimen de financiación
RIA - Research and Innovation actionCoordinador
70182 Orebro
Suecia