Title :
Knowledge Representation and Reasoning for Perceptual Anchoring
Author :
Melchert, Jonas ; Coradeschi, Silvia ; Loutfi, Amy
Author_Institution :
Orebro Univ., Orebro
Abstract :
In this work we report results on the use of symbolic knowledge representation and reasoning (KRR) for perceptual anchoring. Anchoring is the creation and maintenance of a connection between the symbolic and perceptual description that refer to the same physical object in the environment. We extend the anchoring framework to manage the symbolic information in a KRR system, and to exploit this knowledge and the inference mechanism to recover from failures in the anchoring of symbols. We show a simulated scenario where the system communicates with a user to interactively resolve an ambiguous description using the knowledge base, and in particular spatial relations. This is a first step towards a KRR-supported anchoring framework that we will use for human-robot communication.
Keywords :
inference mechanisms; knowledge representation; inference mechanism; knowledge reasoning; perceptual anchoring; symbolic knowledge representation; Artificial intelligence; Human robot interaction; Inference mechanisms; Information management; Intelligent robots; Knowledge management; Knowledge representation; Mobile robots; Robot sensing systems; Spatial resolution;
Conference_Titel :
Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
Conference_Location :
Patras
Print_ISBN :
978-0-7695-3015-4
DOI :
10.1109/ICTAI.2007.118