Abstract
In this paper we propose the creation of context-aware middleware to solve the challenge of integrating disparate incompatible systems involved in the teaching of human action skills to robots. Context-aware middleware provides the solution to retrofitting capabilities onto existing robots (agents) and bridges the technology differences between systems. The experimental results demonstrate a framework for handling situational and contextual data for robot Learning from Demonstration.
Original language | English |
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Title of host publication | Intelligent Robotics and Applications |
Subtitle of host publication | 9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part I |
Editors | Naoyuki Kubota, Kazuo Kiguchi, Honghai Liu, Takenori Obo |
Publisher | Springer |
Pages | 563-574 |
Number of pages | 12 |
ISBN (Print) | 978-3-319-43505-3, 978-3-319-43506-0 |
DOIs | |
Publication status | Published - 3 Aug 2016 |
Event | 9th International Conference on Intelligent Robotics and Applications: ICIRA 2016 - Tokyo, Japan Duration: 22 Aug 2016 → 24 Aug 2016 http://www.comp.sd.tmu.ac.jp/icira2016/ |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 9834 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 9th International Conference on Intelligent Robotics and Applications |
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Country/Territory | Japan |
City | Tokyo |
Period | 22/08/16 → 24/08/16 |
Internet address |
Keywords
- context-aware middleware
- JSON-LD
- SLAM