2004
DOI: 10.1007/978-3-540-25931-2_20
|View full text |Cite
|
Sign up to set email alerts
|

A Prototype Inference Engine for Rule-Based Geometric Reasoning

Abstract: Isaac is a rule-based visual language for mobile robots using evidential reasoning and a fuzzy inference engine. A prototype inference engine for Isaac has been implemented, permitting experiments with the Isaac language. This paper discusses this inference engine, describes some preliminary experiences with programming Isaac rulesets, and proposes future optimizations and enhancements to the inference engine.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2007
2007
2007
2007

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 8 publications
0
2
0
Order By: Relevance
“…It integrates a fuzzy reasoning engine to CLIPS facts [19]. FuzzyCLIPS is implemented in Isaac, a rule-based visual language for geometric reasoning designed for mobile robots, which is under development at New Mexico State University [20,21]. The Isaac language has been tested by simulating a prototype inference engine to perform standard robotic tasks.…”
Section: B Fuzzy Logic In Integrated Reasoningmentioning
confidence: 99%
See 1 more Smart Citation
“…It integrates a fuzzy reasoning engine to CLIPS facts [19]. FuzzyCLIPS is implemented in Isaac, a rule-based visual language for geometric reasoning designed for mobile robots, which is under development at New Mexico State University [20,21]. The Isaac language has been tested by simulating a prototype inference engine to perform standard robotic tasks.…”
Section: B Fuzzy Logic In Integrated Reasoningmentioning
confidence: 99%
“…The Isaac language has been tested by simulating a prototype inference engine to perform standard robotic tasks. However, the integration of Isaac with a robot model has not been accomplished yet [21].…”
Section: B Fuzzy Logic In Integrated Reasoningmentioning
confidence: 99%