时间：2018年10月28日上午9：30
地点：大学城校区工学2号馆202会议室
主讲人：Dr.Tang Sai Hong
主讲人简介：Dr.Tang Sai Hong is an associate professor in the Department of Mechanical and Manufacturing Engineering, Universiti Putra Malaysia. His academic experience is in the field of Mechanical, Manufacturing and Systems Engineering. His industrial experience is in the field of construction, M&E, automobile, semiconductor, and design. His current research is related to information technology, operations research, and robotics. Professor Hong has published numerous articles in a variety of well-known journals, including Expert Systems with Applications, Fuzzy Sets and Systems, Applied Artificial Intelligence, Journal of Manufacturing Systems, International Journal of Production Research, Industrial Management & Data Systems, and Journal of Industrial Engineering and Management.
报告内容：Mobile robots are dependent on a model of the environment for their
basic navigation functions, and it is a major requirement for an
autonomous mobile robot to accomplish its mission.The aim of the research is to develop an unsupervised and fully
appearance-based place recognition approach for mobile robot
topological mapping and qualitative localization in a dynamic
environment.the main advantages of the topological mapping and qualitative
localization methods, which are designed and implemented in this thesis, are:
these methods are robust, accurate, cost effective, portable, low power
consumption, low weight, easy to install without any camera calibration and can
be applied on various mobile robot platforms. Lastly, online method can be used
in mobile robot exploration tasks such as military application, surveillance robots
to explore unknown areas, robotic fire fighters and rescue robot and the offline
methods have some advantages in assistive mobile robot” which is beneficial in
serving the human.
