An international project led by Edinburgh Napier University and Nanjing University of Information Science and Technology (NUIST) aims to enhance meteorological surveillance and disaster prediction through advanced field robot autonomy and global dissemination of project outcomes.

Title of Project: Context-driven Proactively Auto-recognising and Learning Met-bot For Meteorological Disaster Surveillance and Precautious Warning (CALM)

Funder: Royal Society of Edinburgh and China Natural Science Foundations Council

Meteorological surveillance and disaster prediction is vital for society and economy. This international project, led by Edinburgh Napier in partnershoip with Nanjing University of Information Science and Technology (NUIST), aims to develop more accurate and reliable solutions to help build a safer society and stronger economy. The project will have an important impact on the quality of life as people enjoy more reliable, accurate and timely meteorological services.

 The proposed project approach represents significant scientific advances in the autonomy of field robots in highly dynamic and hazardous environments by injecting context-proactivity, semantic analytics and proactive learning into robots. The new generation of field robots will help solve many societal and industrial challenges and boost economic competence and growth, e.g. through improved elderly care and emergency services.

Project outcomes have been globally disseminated to create awareness and promote wide application of new field robots in industry and society. To-date, the project has led to 15 journal papers and 4 conference papers, in addition to numerous keynote speeches and co-organised international conferences and two journal special issues co-edited with the NUIST team. A joint PhD programme has also been developed between ENU and NUIST.