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ProViDE (Planetary Robotics Vision Data Exploitation) [EU FP7 Project] processes imaging data gathered so far from vehicles and probes on the Moon and Mars.
ATOM (Automatic Three-dimensional Terrain Monitoring ) [TACR Project] develops technology for automatic three-dimensional terrain monitoring from digital photographs acquired by an autonomous airship.
De-Montes (Deformation Monitoring by High Resolution Terrestrial Long Range Sensing) [EU FP7 Project] provides an efficient, highly automated, high-resolution, terrestrial, long range sensing measurement and analysis system for monitoring geo-risks.
CloPeMa (Clothes Perception and Manipulation) [EU FP7 Project] develops autonomous perception and robotic manipulation of fabrics, textiles and garments.
ProViScout (Planetary Robotics Vision Scout) [EU FP7 Project] demonstrates vision-based autonomous sample identification ans terrain hazard analysis for planetary exploration missions.
PRoVisG (Planetary Robotics Vision Ground Processing) [EU FP7 Project] brings together major EU and US research institutions involved in space robotic vision and navigation to develop a unified approach to robotic vision ground processing.
i n t e r a c t I V e  [EU FP7 IP Project] develops advanced driver assistance systems (ADAS) for safer and more efficient driving.
H U M A V I P S [EU FP7 IP Project] (Humanoids with Auditory and Visual Abilities In Populated Spaces) is aiming   at developping a robot collaborating with people.
D A R W I N [EU FP7 STREP Project] (Dextrous Assembler Robot Working with Embodied Intelligence) aims at developoing an `acting, learning and reacognising’ assembler robot.
N I F T i [EU FP7 IP Project] robots to carry out realistic missions, in real-life training areas.
M A S H (Massive Sets of Heuristics) [EU FP7 STREP Project] project investigates the design of complex learning systems to increase the performance of artificial intelligence.
D I P L E C S (Dynamic Interactive Perception-action LEarning in Cognitive Systems) [EU FP7 IP Project] project aims to design an Artificial Cognitive System capable of learning and adapting to respond in the everyday human situations.
C A K Center for Applied Cybernetics.
DIRAC developed methods for autonomous artificial cognitive systems to detect, identify and classify rare events from audio-visual sensors.
OMNIVIEWS (Omni-directional Visual System) [EU FP5 Project] integrated optical, optoelectronic, hardware, and software technology to realize a smart visual sensor acquiring panoramic (360 degree) images and performing a useful low-level processing on the incoming stream of images in real-time.
Be-No-Go new recording and visualization technologies for virtual presence based on non-central view synthesis.