Utilizing Spatial Relations for Natural Language Access to an Autonomous Mobile Agent

摘要: Natural language, a primary communication medium for humans, facilitates better human-machine interaction and could be an efficient means to use intelligent robots in more flexible manner. In this paper, we report on our joint efforts at providing natural language access the autonomous mobile two-arm robot Kamro. The is able perform complex assembly tasks. To achieve behaviour, several camera systems are used perception of environment during task execution. Since utterances must interpreted with respect robot's current processing based referential semantics that perceptually anchored. Considering localization expressions, demonstrate how, one hand, verbal descriptions, other knowledge about physical environment, i.e., visual geometric information, can connected each other.