NDLI: EpistemeBase: A semantic memory system for task planning under uncertainties

Content Provider	IEEE Xplore Digital Library
Author	Xiaofeng Xiong Ying Hu Jianwei Zhang
Copyright Year	2010
Description	Author affiliation: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China (Xiaofeng Xiong; Ying Hu) \|\| Faculty of University of Hamburg, Germany (Jianwei Zhang)
Abstract	Tasks planning under uncertainties is one of fundamental skills for enabling autonomous robots to make proper manipulations in the complex environment. But owing to inexpressive representations, autonomous robots hardly conduct efficient tasks planning, especially in unknown conditions. The application of semantic knowledge in task planning is critically required in artificial intelligence research. In this paper, we focus on two topics: semantic knowledge representations and parallel planning for uncertainties. Firstly, a semantic memory system which is called EpistemeBase is proposed for indoor tasks planning, it includes five parallel agents: Assertion, Plan, Anticipation, Behaviour and Effect. Its framework is an evolving process, which consists of Datum, Information, Knowledge and Intelligence. Secondly, the same task planning is synchronously represented by five paralleled agents. This paralleled structure can well accelerate the process of tasks planning as well as better handle it under uncertainties. Finally, the experiment of tasks planning is conducted for measuring the reaction time of planning and uncertainties by using the EpistemeBase and the Open Mind Common Sense (OMCS) respectively.
Starting Page	4503
Ending Page	4508
File Size	1340752
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5650956
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Semantics Planning Uncertainty Cognition Robot sensing systems Dairy products
Content Type	Text
Resource Type	Article

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