Modeling reactive behaviour in vertically layered agent architectures
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Conceptual Information Processing
Conceptual Information Processing
Integrating grid-based and topological maps for mobile robot navigation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
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This paper describes a robotics architecture, the ViRbot, used to control the operation of service mobile robots. It accomplish the required commands using AI actions planning and reactive behaviors with a description of the working environment. In the ViRbot architecture the actions planner module uses Conceptual Dependency (CD) primitives as the base for representing the problem domain. After a command is spoken to the mobile robot a CD representation of it is generated, a rule based system takes this CD representation, and using the state of the environment generates other subtasks represented by CDs to accomplish the command. By using a good representation of the problem domain through CDs and a rule based system as an inference engine, the operation of the robot becomes a more tractable problem and easier to implement. The ViRbot system was tested in the Robocup@Home [1] category in the Robocup competition at Bremen, Germany in 2006 and in Atlanta in 2007, where our robot TPR8, obtained the third place in this category.