Multi-Aspect Approach to Robotic Anticipation for Supporting Human´s Multiple-Intelligence in Natural Scene

A multi-aspect approach is applied to one-step anticipation for tightening human-robot interaction in naturally complex scene. Via symbolic massage exchange, human´s linguistic intelligence identifies possible solutions by robotic intelligence. In reference to signal space as operable representation of the scene, human´s body- kinesthetic intelligence and robotic control systems are co- oriented. As a common basis of these interaction aspects, in this paper, visible class of ´anticipants´ is introduced on multi-viewpoint imagery. Despite not-yet-structured representation, the anticipants focalizes robotic intelligence to the scope of human´s subsequent performances.