An architecture for understanding in planning, action, and learning
ACM SIGART Bulletin
Integrated systems based on behaviors
ACM SIGART Bulletin
A framework for integrating perception, action, and trial-and-error learning
ACM SIGART Bulletin
Local invariant feature detectors: a survey
Foundations and Trends® in Computer Graphics and Vision
Teleo-reactive programs for agent control
Journal of Artificial Intelligence Research
Visual routines and visual search: a real-time implementation and an automata-theoretic analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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This thesis describes Sonja, a system which uses instructions in the course of visually-guided activity. The thesis explores an integration of research in vision, activity, and natural language pragmatics. Sonja''s visual system demonstrates the use of several intermediate visual processes, particularly visual search and routines, previously proposed on psychophysical grounds. The computations Sonja performs are compatible with the constraints imposed by neuroscientifically plausible hardware. Although Sonja can operate autonomously, it can also make flexible use of instructions provided by a human advisor. The system grounds its understanding of these instructions in perception and action.