Title
Heterogeneous Ontologies and Hybrid Reasoning for Service Robotics: The EASE Framework.
Abstract
As robots are expected to accomplish human-level manipulation tasks, the demand for formal knowledge representation techniques and reasoning for robots increases dramatically. In this paper we describe how to make use of heterogeneous ontologies in service robotics. To illustrate the vision, we take the action of pouring as an example.
Year
Venue
Field
2017
ROBOT
Ontology (information science),Computer vision,Ontology,Knowledge representation and reasoning,Systems engineering,Computer science,Hybrid reasoning,Human–computer interaction,Artificial intelligence,Robot,Robotics
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
16
5
Name
Order
Citations
PageRank
John A. Bateman148880.06
Michael Beetz23784284.03
Daniel Beßler333.12
Asil Kaan Bozcuoglu4134.34
Mihai Pomarlan5206.37