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| Title: | A Distributed Knowledge Network for Real World Robot Applications |
| Authors: | Chong, Nak Young
Hongu, Hiroshi
Ohba, Kohtaro
Hirai, Shigeoki
Tanie, Kazuo |
| Issue Date: | 2004 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Magazine name: | Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004) |
| Start page: | 187 |
| End page: | 192 |
| DOI: | 10.1109/IROS.2004.1389350 |
| Abstract: | We propose a collaborative knowledge network that we call omniscient spaces in the attempt to generate sophisticated robotic behavior with minimal programming effort. New products are manufactured and brought into our daily life everyday. Robots should need a way to easily integrate new products into their existing recognizable environments. Radio frequency identification gains increasing attention to support context and ambient awareness in dynamically changing environments. To solve robot programming difficulties in our environments, the collaborative knowledge network connects heterogeneous knowledge resources to collectively build up the robot's knowledge required to accomplish a task. Specifically, a decentralized knowledge acquisition and task specific integration model is proposed, where the proposed knowledge integrator merges specific knowledge with existing knowledge into a task requiring knowledge. For this, manufacturers put their product data tailored to plan robot motions online and robots may access the data without authorization. In this work, the best possible scenario under current technological limitations is proposed for real world robot applications. A detailed analysis of the knowledge flow model is described. To verify the validity of the proposed model, a test bed is built and table clearing task is performed according to the distributed knowledge management framework. |
| Rights: | Copyright (C) 2004 IEEE. Reprinted from Proceedings of 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), 2004, 187-192. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. |
| URI: | http://hdl.handle.net/10119/9754 |
| Material Type: | publisher |
| Appears in Collections: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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