2026-05-23T01:45:05Zhttps://repisalud.isciii.es/rest/oai/request

oai:repisalud.isciii.es:20.500.12105/178982024-02-10T20:02:00Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16927

00925njm 22002777a 4500 dc Monroy, Javier author Ruiz-Sarmiento, Jose-Raul author Moreno, Francisco-Angel author Galindo, Cipriano author Gonzalez-Jimenez, Javier author 2019-08-09 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. 10.3390/s19163488 1424-8220 Sensors (Basel, Switzerland) http://hdl.handle.net/10668/14386 31404963 http://hdl.handle.net/20.500.12105/17898 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.