PERCEPTION
Putting olfaction into action : anchoring symbols to sensor data using olfaction and planning
Amy Loutfi, Silvia Coradeschi, Lars Karlsson, Mathias Broxvall
- Year
- 2005
- Citations
- 4
Abstract
Olfaction is a challenging new sensing modality for intelligent systems. With the emergence of electronic noses (e-noses) it is now possible to train a system to detect and recognise a range of different odours. In this work, we integrate the electronic nose on a multi-sensing mobile robotic platform. We plan for perceptual actions and examine when, how and where the e-nose should be activated.Finally, experiments are performed on a mobile robot equipped with an e-nose together with a variety of sensors and used for object detection.
Keywords
Computer scienceOlfactionElectronic noseVariety (cybernetics)Human–computer interactionModality (human–computer interaction)Action (physics)Mobile robotArtificial intelligenceRobot
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 cites
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002