Dr. Haiyang Chao, the assistant professor in Aerospace Engineering Department of the University of Kansas, USA, delivered a presentation to EE faculties and students on Dec 25 this Thursday.
In his presentation - Towards Cooperative Sensing, Estimation, and Control Using Networked Unmanned Systems, Dr Chao introduced advances in electronics technologies such as embedded systems, microelectromechanical systems, and reliable wireless networks that made it possible to deploy unmanned systems in large amounts. According to him, this posed challenges to control researchers and engineers on how to deploy and employ those vast amounts of networked unmanned systems for different sensing and control missions such as emergency response, persistent surveillance, formation flight for fuel saving. His presentation focused on the platform development of low-cost flying aerial robots as well as example applications of multiple unmanned systems including rendezvous, formation keeping, and cooperative state estimation. The long term research objective was, in his opinion, to achieve new sensing capability and higher robot intelligence with the introduction of new cooperative sensing and cooperative control strategies.
Dr. Haiyang Chao has been an Assistant Professor in Aerospace Engineering Department of the University of Kansas since 2013. Dr. Chao's research interest is in the areas of estimation, control, and dynamics of unmanned vehicles. Current focus is on vision-aided navigation, wind/gust estimation, cooperative control, remote sensing, and small UAV development. He has authored or coauthored one book, two book chapters, and more than thirty peer-reviewed research papers. He is the author of the book "Remote Sensing and Actuation Using Unmanned Vehicles" published by Wiley-IEEE Press. Dr. Chao has extensive experiences of designing, programming, and flight testing small unmanned systems for flight control, aviation safety, and remote sensing applications. Example scenarios include close formation flight, optical-flow-aided navigation, low-cost flight controller development, fractional order attitude controller, etc.
