Title
Object recognition: A new application for smelling robots
Abstract
Olfaction is a challenging new sensing modality for intelligent systems. With the emergence of electronic noses, it is now possible to detect and recognize a range of different odours for a variety of applications. In this work, we introduce a new application where electronic olfaction is used in cooperation with other types of sensors on a mobile robot in order to acquire the odour property of objects. We examine the problem of deciding when, how and where the electronic nose (e-nose) should be activated by planning for active perception and we consider the problem of integrating the information provided by the e-nose with both prior information and information from other sensors (e.g., vision). Experiments performed on a mobile robot equipped with an e-nose are presented.
Year
DOI
Venue
2005
10.1016/j.robot.2005.06.002
Robotics and Autonomous Systems
Keywords
Field
DocType
Electronic olfaction,Planning for perceptional actions,Anchoring,Sensing with multiple modalities
Electronic nose,Computer vision,Active perception,Intelligent decision support system,Computer science,Artificial intelligence,Robot,Computer technology,Mobile robot,Robotics,Cognitive neuroscience of visual object recognition
Journal
Volume
Issue
ISSN
52
4
0921-8890
Citations 
PageRank 
References 
10
1.25
19
Authors
4
Name
Order
Citations
PageRank
Amy Loutfi138529.54
Mathias Broxvall230125.54
Silvia Coradeschi31015109.83
Lars Karlsson455642.34