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Ontology based knowledge representation technique, domain modeling languages and planners for robotic path planning: A survey
تکنیک بازنویسی دانش هستی شناسی، مدل سازی دامنه زبان ها و برنامه ریزان برای برنامه ریزی مسیر رباتیک: یک مرور-2018 Knowledge Representation and Reasoning (KR & R) has become one of the promising fields of Artificial Intelligence. KR is dedicated
towards representing information about the domain that can be utilized in path planning. Ontology based knowledge representation and reasoning
techniques provide sophisticated knowledge about the environment for processing tasks or methods. Ontology helps in representing the knowledge
about environment, events and actions that help in path planning and making robots more autonomous. Knowledge reasoning techniques can infer
new conclusion and thus aids planning dynamically in a non-deterministic environment. In the initial sections, the representation of knowledge
using ontology and the techniques for reasoning that could contribute in path planning are discussed in detail. In the following section, we also
provide comparison of various planning domain modeling languages, ontology editors, planners and robot simulation tools.
Keywords: Path planning; Knowledge representation; Reasoning; Ontology; Spatial; Temporal; Semantic knowledge; Planners; Modeling languages |
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