Name
Abstract | ||
|---|---|---|
Abstract—We,present a new,approach,for odour,detection and recognition,based on a so-called PEIS-Ecology: a network,of gas sensors,and,a mobile,robot are integrated,in an intelligent environment.,The environment,can provide,information,regarding the location of potential odour sources, which is then relayed to a mobile,robot equipped,with an electronic nose. The robot can then,perform,a more,thorough,analysis of the odour,character. This is a novel approach,which,alleviates some,the challenges in mobile,olfaction techniques,by single and,embedded,mobile robots. The environment,also provides,contextual,information which can be used to constrain the learning of odours, which is shown,to improve,classification performance. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ROBOT.2006.1642009 | Orlando, FL |
Keywords | Field | DocType |
ecology,gas sensors,mobile robots,PEIS-Ecology,ecological approach,gas sensors,intelligent environments,mobile olfaction techniques,mobile robot,odour recognition | Electronic nose,Intelligent environment,Computer vision,Contextual information,Control engineering,Human–computer interaction,Ecological psychology,Artificial intelligence,Engineering,Robot,Mobile robot,Information and Computer Science | Conference |
Volume | Issue | ISSN |
2006 | 1 | 1050-4729 |
ISBN | Citations | PageRank |
0-7803-9505-0 | 9 | 0.98 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathias Broxvall | 1 | 301 | 25.54 |
| Silvia Coradeschi | 2 | 1015 | 109.83 |
| Amy Loutfi | 3 | 385 | 29.54 |
| Alessandro Saffiotti | 4 | 2755 | 284.17 |