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Can I read Detecting and Diagnosing Mistakes in Vision-based Navigation on EtoBox?
Detecting and Diagnosing Mistakes in Vision-based Navigation by Elizabeth R. Stuck is a Engineering article available to read on EtoBox.
What is Detecting and Diagnosing Mistakes in Vision-based Navigation about?
Robust mobile robot navigation is an open problem. Navigational mistakes are inevitable due to the characteristics of sensors, models, actuators, and natural environments. This paper describes how to detect and diagnose mistakes that autonomous mobile robots make while navigating through large-scale space using vision. Mistakes are perceptual, cognitive, or motor events that lead a robot astray from its intended route. Detecting and diagnosing a mistake involves realizing that this has happened and determining what the mistake was and when it happened. The approach described in this paper handles mistakes explicitly. Mistakes are detected by looking for mismatches between observations and expeclations. Detailed symbolic representations of visual information support comparing observations and expectations augmented by a priori knowledge. Mistakes are diagnosed by examining knowledge from a variety of sources, including a history of [tae mobile robot's observations and actions. A computer program called MUCKLE implements this approach in simulation and provides experimental results that demonstrate the feasibility and potential of the approach.
Who reads Detecting and Diagnosing Mistakes in Vision-based Navigation?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Elizabeth R. Stuck
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0921-8890)
- Published
- 1996
- Language
- EN
- Field
- Engineering (Physical Sciences)