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报告题目：Aerial Robots based HAZMAT monitoring: Information-theoretic Hazardous Source Search and Reconstruction
报告人：Dr. Cunjia Liu
单 位：英国拉夫堡大学航空与汽车工程系(AAE)
时 间：2019年7月27日（周六）下午3：00
地 点：自动化学院中心楼2楼教育部重点实验室会议室
邀请人/主持人：杨俊教授
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欢迎各位老师和研究生参加！
报告摘要：This talk will introduce an airborne autonomous system to assist first responders in response to releases of hazardous material into the atmosphere. The system comprises of an Unmanned Aerial Vehicle (UAV), onboard chemical sensors and information-theoretic search and source term reconstruction algorithms. The novelty of the work lies in the original and nontrivial integration of a recently proposed Bayesian source term estimation (STE) algorithm with an information theoretic planner, which enables the intelligent and autonomous search of the scene. A simplistic outline of a framework for information theoretic source reconstruction will also be discussed in this talk, where each component can also be extended to improve the overall system. In addition, the experimental assessment of the information theoretic search algorithm using an aerial robot is the first of its kind, paving the way to a deployable system in realistic scenarios.
报告人简介：
Dr. Cunjia Liu received his B.Eng. and M.Sc. degrees in guidance, navigation, and control from Beihang University, Beijing, China, in 2005 and 2008, respectively. In 2011, he received a Ph.D. in autonomous vehicle control from Loughborough University, Loughborough, Leicestershire, UK. He was a research associate with the Department of Aeronautical and Automotive Engineering at Loughborough University, where he was appointed as a Lecturer and then a Senior Lecturer in Unmanned Vehicles in 2013 and 2018, respectively. He has considerable research experience in autonomous vehicles and Bayesian estimation and their applications in different domains. His research has been widely supported by UK research councils, Innovate UK and Dstl, including the prestigious EPSRC First Grant, the Dstl Minerva project and the Newton fund Agri-tech China project. He has been awarded the Charles Sharpe Beecher Prize by the UK Institution of Mechanical Engineers for his work in autonomous helicopter control.
