Research Area B

Perception

Research Area B designs, implements, and empirically analyzes perceptual mechanisms for cognition in technical systems.


It also integrates, embeds, and specializes the mechanisms for their application in the demonstration scenarios. The challenge for the area is to develop fast, robust and versatile perception systems that allow the CoTeSys demonstrators to operate in unconstrained real-world environments; to endow cognitive technical systems with perception systems that, through multiple sensory modes, acquire, maintain, and deliver task-relevant information rather than produce vast sensor data streams.

Besides lower level perceptual tasks, the CoTeSys perception modules will be capable of recognizing, classifying, and locating a large number of objects, of conceiving and assessing situations, contexts, and intentions, and interpreting intentional activities based on perceptual information. Perceptual mechanisms at this performance level must themselves be cognitive.

They have to filter out irrelevant data, focus attention based on an understanding of the context and the tasks they are to execute. The perceptual capabilities investigated in research area B are not limited to the core perceptual capabilities but also include postprocessing reasoning such as the acquisition of environment models and diagnostic reasoning mechanisms that enable the CTSs to automatically adapt to new environments and to repair or debug themselves.