Planning and Explanations with a Learned Spatial Model
| Autor: | Epstein, Susan L., Korpan, Raj |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
03 medical and health sciences
0302 clinical medicine 000 Computer science knowledge general works Computer Science 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology 030217 neurology & neurosurgery |
| DOI: | 10.4230/lipics.cosit.2019.22 |
| Popis: | This paper reports on a robot controller that learns and applies a cognitively-based spatial model as it travels in challenging, real-world indoor spaces. The model not only describes indoor space, but also supports robust, model-based planning. Together with the spatial model, the controller's reasoning framework allows it to explain and defend its decisions in accessible natural language. The novel contributions of this paper are an enhanced cognitive spatial model that facilitates successful reasoning and planning, and the ability to explain navigation choices for a complex environment. Empirical evidence is provided by simulation of a commercial robot in a large, complex, realistic world. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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