The 2010 International Joint Conference on Neural Networks (IJCNN) 2010
DOI: 10.1109/ijcnn.2010.5596897
|View full text |Cite
|
Sign up to set email alerts
|

The real-world localization and classification of multiple odours using a biologically based neurorobotics approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
2
2

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 25 publications
0
1
0
Order By: Relevance
“…47 As a result, there is considerable interest in providing similar capabilities to robots 48 and UAVs 49 to enable these sorts of tasks in autonomous and stand-off monitoring systems. To explore the feasibility of using temporal modulated responses for plume tracking, a concentration profile (Figure 4a) was simulated to represent temporal variations that could be experienced by an organism 50 or an autonomous tracking system 51 maneuvering up a concentration gradient to a source, periodically exiting the plume and returning based on a drop in concentration. 52 The sensor array was exposed to the temporal concentration profile for isopropanol (Figure 4b), and processed as described above, utilizing the principle component calibration from the training set.…”
Section: ■ Results and Discussionmentioning
confidence: 99%
“…47 As a result, there is considerable interest in providing similar capabilities to robots 48 and UAVs 49 to enable these sorts of tasks in autonomous and stand-off monitoring systems. To explore the feasibility of using temporal modulated responses for plume tracking, a concentration profile (Figure 4a) was simulated to represent temporal variations that could be experienced by an organism 50 or an autonomous tracking system 51 maneuvering up a concentration gradient to a source, periodically exiting the plume and returning based on a drop in concentration. 52 The sensor array was exposed to the temporal concentration profile for isopropanol (Figure 4b), and processed as described above, utilizing the principle component calibration from the training set.…”
Section: ■ Results and Discussionmentioning
confidence: 99%