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. This talk provides an overview of the field, introducing the odour dispersion phenomenon and the problems of finding its parameters from the inversion of concentration measurements. Then, a brief survey of the existing odour sensing technologies and their corresponding limitations is provided. The main methods to search odour sources with mobile robots are reactive strategies, heuristic search, and probabilistic inference methods. These approaches are frequently dependent on the environment characteristics, but this dependence may be mitigated by machine learning approaches. More information: (https://events.vtools.ieee.org/m/318485) Co-sponsored by: S Z Taqvi Speaker(s): Lino Marques, Virtual: https://events.vtools.ieee.org/event/register/318797