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- W2408022548 abstract "This thesis addresses methods that enable robots to extract missing route knowledge by asking humans for directions. Guidelines for human-robot dialogs are derived from linguistic principles relevant to direction-inquiry and implemented in a dialog system. As route information is usually simplified and distorted, probabilistic models of individual route information are developed. Finally, a system is developed that allows robots to reason about different route descriptions. Route descriptions are represented as graphs and evaluated for plausibility by pattern matching and route similarity assessment. Reasonable route information is included in the route belief of the robot, while conflicting information is inquired about if necessary. All methods are evaluated experimentally with collected data or by human participants." @default.
- W2408022548 created "2016-06-24" @default.
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- W2408022548 date "2010-01-01" @default.
- W2408022548 modified "2023-09-25" @default.
- W2408022548 title "Extraction of Probabilistic Route Information Representations from Human-Robot Dialogs" @default.
- W2408022548 hasPublicationYear "2010" @default.
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