HEU-AIRLab reseach interests: mobile robot visual pollution after the contingency planning
HEU-AIRLab reseach interests: Robot biomimetic model
He received his B.S. degree in Fluid Transmission and Pressure Control from Zhejiang University, Hangzhou, China in 1987, and the M.Sc. and Ph.D. degrees in Mechatronic Control and Automation from Harbin Institute of Technology, Harbin, China in 1990 and 2006, respectively. He has participated in several national and metro projects in the Middle East. He is now a professor in Harbin Engineer University and the director of the HEU-DYNAVIO Joint Laboratory. His research interests include special robots in extreme conditions, design and manufacturing for advanced hydraulic fluid system, Big data mine of manufacture process, robotic maintenance equipment for rail transportation, weak signal processing for integrated device and its multi-physics coupling optimization. Prof Xu has published more than 40 refereed papers in technical journals and conference proceedings.
Andrea Bonarini (Milano, 1957). Laurea (Master) in Electronics Engineering, 1984. PhD in Computer Engineering in 1989 from Politecnico di Milano. Master in Neuro-Linguistic Programming in 1993, from IIPNL. Full professor and member of the PhD Board (Coordinator for the Computer Engineering Section since 2011) at the Politecnico di Milano, Department of Electronics and Information. Since 1984 he is member of the Politecnico di Milano Artificial Intelligence and Robotics Project, and coordinator of the AIRLab since 1990. He has been nominated Fellow of the Alta Scuola Politecnica in 2012.
Matteo Matteucci ("laurea" degree 1999, MS 2002, Phd 2003) is an Associate Professor at the Politecnico di Milano. Interested in Robotics and Algorithms for Machine Learning (a.k.a. Pattern Recognition, Knowledge Discovering, Data Mining, Soft Computing, etc.), in 2002 he got a Master of Science in Knowledge Discovery and Data Mining at Carnegie Mellon University (Pittsburgh, PA), and in 2003 a PhD in Computer Engineering and Automation at the Politecnico di Milano. He is actually working in both Robotics and Machine Learning, mainly applying, in a practical way, techniques for adaptation and learning to autonomous robotics systems.
