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--- en:h_zhao [2010/06/18 13:41] – castillo
+++ en:h_zhao [2010/06/18 13:53] (current) – castillo
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 by  **Prof. Huijing ZHAO**, Key Lab of Machine Perception (Ministry of Education),
-Peking University (zhaohj@cis.pku.edu.cn)
+Peking University (<html><a href="mailto:zhaohj@cis.pku.edu.cn">zhaohj@cis.pku.edu.cn</a></html>)
 \\
@@ Line 13: / Line 13: @@
 Abstract: \\
-In this seminar, a globally stabilizing output feedback scheme for the motion control of robot manipulators with bounded inputs is presented.
+This talk will introduce the latest research developments in PKU Omni Smart Sensing (POSS) group: an intelligent vehicle system towards an omni-directional sensing of a large dynamic environment (POSS-v), and a network sensing system using horizontal laser scanners that monitoring a dynamic environment, such as an intersection (POSS-i). Latest experimental results concerning each research algorithms as well as potential applications will be discussed. http://www.poss.pku.edu.cn.
-It achieves the trajectory tracking goal avoiding input saturation and excluding velocity measurements. Moreover, it is not defined using a specific sigmoidal function, but any one on a set of saturation functions. Consequently, the proposed algorithm actually constitutes a family of globally stabilizing output feedback bounded controllers. \\ \\
-Furthermore, the bound of such saturation functions is explicitly considered in their definition. Hence, the control gains are not tied to satisfy any saturation-avoidance inequality and may consequently take any positive value, which may be considered beneficial for performance adjustment/improvement purposes. The efficiency of the proposed scheme is corroborated through experimental results.
+The talk will end with an overview of the research interests of the group [[http://www.cis.pku.edu.cn/vision/3DVCR/people.html|3DVCR]] (3D Visual Computing and Robotic), in Department of Machine Intelligence of Peking University.
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UMR CNRS 7253

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