Smell, think and act: A cognitive robot discriminating odours

  title={Smell, think and act: A cognitive robot discriminating odours},
  author={Amy Loutfi and Silvia Coradeschi},
  journal={Autonomous Robots},
In this paper, we explore the integration of an electronic nose and its odour discrimination functionalities into a multi-sensing robotic system which works over an extended period of time. The robot patrols an office environment, collecting odour samples of objects and performing user requested tasks. By considering an experimental platforms which operates over an extended period of time, a number of issues related to odour discrimination arise such as the drift in the sensor data, online… 
Classification of odours with mobile robots based on transient response
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Object recognition: A new application for smelling robots
Improving Odour Analysis Through Human-Robot Cooperation
  • A. Loutfi, S. Coradeschi
  • Computer Science
    Proceedings of the 2005 IEEE International Conference on Robotics and Automation
  • 2005
The ambition of this work is to illustrate how classification performance of odours can be improved through the exploitation of the mobility of a robot, as well as through the cooperation between a human user and an electronic perceptual system.
Putting olfaction into action: using an electronic nose on a multi-sensing mobile robot
This work introduces 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.
Olfaction-based mobile robot navigation
Sensing odour trails for mobile robot navigation
This paper describes the latest stage in the development of a robot navigation system based on laying down and detecting trails of volatile chemicals based on a prototype olfactory sensor developed which showed the feasibility of having a mobile robot follow an odour trail on the floor.
Maintaining Coherent Perceptual Information Using Anchoring
An extension of the anchoring framework capable of maintaining the correspondence between sensor data and the symbolic descriptions referring to objects is presented, capable of tracking and acquiring information from observations derived from sensor data as well as information from a priori symbolic concepts.
Recovery Planning for Ambiguous Cases in Perceptual Anchoring
This paper considers different kinds of ambiguous situations and presents planning-based methods to recover from them, and extends perceptual anchoring to deal robustly with ambiguous situations by providing general methods for detecting them and recovering from them.
Forming Odour Categories Using an Electronic Nose
This work addresses the problem of symbolically representing odour categories using the data from an electronic nose to facilitate human and computer interaction and therefore, the names given to the odours are coorelated with a human user.
Anchoring Symbols to Sensor Data: Preliminary Report
A domain-independent deflnition of the anchor- ing problem is proposed, and its three basic functionalities are identified: flnd, reacquire, and track.
An introduction to the anchoring problem