The prognosis for autonomous mobile service robots for transportation tasks in indoor environments, e.g. multistory buildings differs a lot from todays reality. The robots have to act in dynamic environments with a hu...
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The prognosis for autonomous mobile service robots for transportation tasks in indoor environments, e.g. multistory buildings differs a lot from todays reality. The robots have to act in dynamic environments with a huge number of components. The robots total repertoire of affordances and intelligence is highly according to the complexity of the building and its respective task. Difficult tasks can only be achieved of the base on immediate sensing of the environment and real-time evaluation of the sensor processing modules. This paper describes two components; a five layer sensor architecture which integrates a spatial database for multistory buildings and different modules of medium and limited intelligence but with real-time capabilities. A basic feature extraction algorithms of layer II is presented as an example of the modules.
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