arrow
Return

Representations for robot knowledge in the KNowRoB framework

delete2017-06-01
delete108
delete
OA
AI
M
Moritz Tenorth *
M
Michael Beetz
DOI:10.1016/j.artint.2015.05.010delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
In order to robustly perform tasks based on abstract instructions, robots need sophisticated knowledge processing methods. These methods have to supply the difference between the (often shallow and symbolic) information in the instructions and the (detailed, grounded and often real-valued) information needed for execution. For filling these information gaps, a robot first has to identify them in the instructions, reason about suitable information sources, and combine pieces of information from different sources and of different structure into a coherent knowledge base. To this end we propose the KnowRos knowledge processing system for robots. In this article, we discuss why the requirements of a robot knowledge processing system differ from what is commonly investigated in AI research, and propose to re-consider a KR system as a semantically annotated view on information and algorithms that are often already available as part of the robot's control system. We then introduce representational structures and a common vocabulary for representing knowledge about robot actions, events, objects, environments, and the robot's hardware as well as inference procedures that operate on this common representation. The KNowRoB system has been released as open-source software and is being used on several robots performing complex object manipulation tasks. We evaluate it through prototypical queries that demonstrate the expressive power and its impact on the robot's performance. (C) 2015 Published by Elsevier B.V.
Keywords:
Knowledge representation
Autonomous robots
Knowledge-enabled robotics
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Artificial Intelligence Review cover
Artificial Intelligence Review
IF:
13.9
Papers:
6.1K
Citations:
1.9W

Organization

U
University of Bremen
Scholars:
8.1K
Papers: 7.2K
Citations: 1.1W
Cited Papers

Cited Papers

Involvement of a small GTP binding protein in HIV-1 release
err2005-08-04
err0
errOAAI
errGilles Audoly; Michel R Popoff; Pablo Gluschankof
errShare
errSave
errShare
errSave
Low-cost and high-efficiency single-mode-fiber interfaces to silicon photonic circuits
err2020-06-01
err0
PREAI
errXian Zhang; Bin Chen; Ziliang Ruan; Weixi Liu; Pengxin Chen; Yaocheng Shi; Liu Liu
errShare
errSave
A new dromaeosaurid (Dinosauria: Theropoda) from the Upper Cretaceous Wulansuhai Formation of Inner Mongolia, China
err2010-03-19
err0
errOAAI
errXING XU; JONAH N. CHOINIERE; MICHAEL PITTMAN; QINGWEI TAN; DONG XIAO; ZHIQUAN LI; LIN TAN; JAMES M. CLARK; MARK A. NORELL; DAVID W. E. HONE; CORWIN SULLIVAN
errShare
errSave
Steady-state analysis for contact barrier effects in metal/organic/metal structure using numerical bipolar transport simulation
err2005-01-01
err0
PREAI
errJung-Ho Lee; No Gill Park; Young Sik Kim; Chung-Ha Suh; Jae-Hoon Shim; Young Kwan Kim
errShare
errSave
Simultaneous localization and mapping: Part I
err2006-06-01
err3.4K
errOAAI
errDurrant-Whyte, Hugh; Bailey, Tim
errShare
errSave
researcher View more