1. A method for real time object recognition and pose estimation using in-situ monitoring, comprising the steps of: a) receiving 2D and 3D real time image information, extracting single or multiple evidences from the received 2D and 3D real time image information, recognizing an object by comparing the extracted evidences with model information, and expressing locations and poses of the object by probabilistic particles in a space; b) probabilistically fusing various locations and poses of the object, which are generated in a particle form, and finally determining a location and a pose of the object by filtering inaccurate information; c) generating a region of interest (ROI) by receiving 2D and 3D real time image information and the location and pose of the object from the step b) and collecting and calculating real time environmental information; d) selecting an evidence or a set of evidences probabilistically by receiving information from the step c) and proposing a cognitive action of a robot for collecting additional evidence if selected evidence is not sufficient; and e) repeating the steps a) and b) and the steps c) and d) in parallel until a result of object recognition and pose estimation is probabilistically satisfied.