Robotics

Technologies

• Computer vision
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Technologies
Computer vision is a field that includes methods for acquiring, processing, analyzing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. (David Marr)
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• Planning and scheduling
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Technologies
The planning and scheduling techniques are included in a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles. Unlike classical control and classification problems, the solutions are complex and must be discovered and optimized in multidimensional space.
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• Reasoning systems
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Technologies
There are so many techniques of content retrieval, the most of them are based on taxonomy analysis and contents analysis for texts. Las técnicas desarrolladas para recuperación por contenido de imágenes y vídeo se han basado en la obtención de características de color, forma y combinaciones de ambas en el dominio transformado obtenido.
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• Swarm intelligence
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Technologies
The swarm intelligence is the collective behavior of decentralized, self-organized systems. The swarm intelligenceI systems are typically made up of a population of simple agents or boids interacting locally with one another and with their environment. The swarm intelligence systems are typically made up of a population of simple agents who interact locally with other agents and with their environment.
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• Unmanned vehicles
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Technologies
The scientific challenge in the design and control of Unmanned Vehicles (UV) in cluttered environments and the lack of existing solutions are very motivating. In this research line, the interest stems not only from their dynamics, which represent an attractive control problem, but also from the design issue. Integrating the sensors, actuators and intelligence into monitoring systems with a decent operation time is not trivial.
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