Error Correction In Large-Scale Cognitive Maps

Ernest Davis

doi:10.1117/12.948947

5 January 1989 Error Correction In Large-Scale Cognitive Maps

Ernest Davis

Proceedings Volume 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation; (1989) https://doi.org/10.1117/12.948947
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

A mobile robot that maintains a dynamic cognitive map will often find that the information in the map is contradicted by his perceptions, and is therefore incorrect. Such errors may be the result of an earlier misperception, an erroneous matching, an erroneous default inference, computational errors, a change in the world over time, or an erroneous previous error correction. Due to the complexity of inference in forming cognitive maps, domain-independent strategies for error correction, such as data-dependencies or conditional probabilities, are not sufficient by themselves to give a robust error correction scheme. Rather, domain-specific techniques and heuristics must be applied. We dis-cuss some of the basic issues involved in detecting, diagnosing and correcting errors in the cognitive map. We also discuss how a robot may decide whether to take actions in order to gather relevant information.

Citation Download Citation

Ernest Davis "Error Correction In Large-Scale Cognitive Maps", Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); https://doi.org/10.1117/12.948947

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