2026-05-23T04:27:49Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/178982024-02-10T20:02:00Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927
Repisalud
author
Monroy, Javier
author
Ruiz-Sarmiento, Jose-Raul
author
Moreno, Francisco-Angel
author
Galindo, Cipriano
author
Gonzalez-Jimenez, Javier
2024-02-10T20:02:00Z
2024-02-10T20:02:00Z
2019-08-09
10.3390/s19163488
1424-8220
Sensors (Basel, Switzerland)
http://hdl.handle.net/10668/14386
31404963
http://hdl.handle.net/20.500.12105/17898
Olfaction is a valuable source of information about the environment that has not been sufficiently exploited in mobile robotics yet. Certainly, odor information can contribute to other sensing modalities, e.g., vision, to accomplish high-level robot activities, such as task planning or execution in human environments. This paper organizes and puts together the developments and experiences on combining olfaction and vision into robotics applications, as the result of our five-years long project IRO: Improvement of the sensory and autonomous capability of Robots through Olfaction. Particularly, it investigates mechanisms to exploit odor information (usually coming in the form of the type of volatile and its concentration) in problems such as object recognition and scene-activity understanding. A distinctive aspect of this research is the special attention paid to the role of semantics within the robot perception and decision-making processes. The obtained results have improved the robot capabilities in terms of efficiency, autonomy, and usefulness, as reported in our publications.
eng
Chemical sensors
e-nose
Gas distribution mapping
Gas source localization
Machine learning
Object recognition
Ontology
Robotics
Robotics olfaction
Semantic networks
Olfaction, Vision, and Semantics for Mobile Robots. Results of the IRO Project.
research article