Artificial Intelligence
Remote Agent: to boldly go where no AI system has gone before
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Position estimation for mobile robots in dynamic environments
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An Behavior-based Robotics
Extending Planning Graphs to an ADL Subset
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Behavior Engineering with "Dual Dynamics" Models and Design Tools
RoboCup-99: Robot Soccer World Cup III
Integration and Evolution of Model-Based Tool Prototypes
RSP '00 Proceedings of the 11th IEEE International Workshop on Rapid System Prototyping (RSP 2000)
Perceptual anchoring of symbols for action
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
Reasoning about Robot Actions: A Model Checking Approach
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
The DD&P Robot Control Architecture (A Preliminary Report)
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Event detection and localization in mobile robot navigation using reservoir computing
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
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The paper presents a new technique for extracting symbolic ground facts out of the sensor data stream in autonomous robots for use under hybrid control architectures, which comprise a behavior-based and a deliberative part. The sensor data are used in the form of time series curves of behavior activation values. Recurring patterns in individual behavior activation curves are aggregated to well-defined patterns, like edges and levels, called qualitative activations. Sets of qualitative activations for different behaviors occurring in the same interval of time are summed to activation gestalts. Sequences of activation gestalts are used for defining chronicles, the recognition of which establishes evidence for the validity of ground facts. The approach in general is described, and examples for a particular behavior-based robot control framework in simulation are presented and discussed.