Mobile Robot Olfaction


Mobile robot olfaction studies the integration and application of the sense of smell into mobile robots. This widely multidisciplinary research area deals with a variety of problems such as chemical sensing, odour dispersion and environmental state estimation, optimal sampling, wide area searching, path planning, and machine learning. The special session on Mobile Robot Olfaction aims to provide a forum where the community working on mobile robot olfaction can present their latest achievements and discuss new ideas. The organisers will encourage the participants to later submit extended versions of their papers to a special issue that will be edited in a robotics journal.


  • Mobile robot olfaction

  • Odour mapping

  • Odour source localization

  • Environmental monitoring

  • Robot olfactory searching

  • Search and rescue

  • Odour dispersion modelling

  • Artificial olfaction

  • Chemical sensing


  • Lino Marques, University of Coimbra, Portugal

  • Santiago Marco, University of Barcelona, Spain

  • Javier Gonzalez-Jimenez, University of Malaga, Spain

  • Javier G. Monroy, University of Malaga, Spain

Program Committee

  • Achim Lilienthal, Örebro University, Sweden

  • Branko Ristic, RMIT University, Australia

  • Cunjia Liu, Loughborough University, United Kingdom

  • Dominique Martinez, LORIA, CNRS, France

  • Hiroshi Ishida, Tokyo University of Agriculture and Technology, Japan

  • Jesus Lozano, Universidad de Extremadura, Spain

  • Jordi Palacín, Universitat de Lleida, Spain

  • Qing-Hao Meng, Tianjin University, China