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An efficient representation of spatial information for expert reasoning in robotic vehicles
| Content Provider | Semantic Scholar |
|---|---|
| Author | Scott, Steven Interrante, Mark |
| Copyright Year | 1987 |
| Abstract | The previous generation 'of robotic vehicles and drones were designed for a specific task, with limited flexibility in executing their mission. This limited flexibility arises because the robotic vehicles do not possess the intelligence and knowledge upon which to make significant tactical decisions. Current development of robotic vehicles is toward increased intelligence and capabilities, adapting to a changing environment and altering mission objectives. The latest techniques in Artificial Intelligence (AI) are being employed to increase the robotic vehicle's intelligent decision making capabilities. This document describes the design of the SARA spatial database tool at Texas Instruments, which is composed of request parser, reasoning, computational, and database modules that collectively manage and derive information useful for robotic vehicles. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19880007894.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |