Tethered Space Robot

Professor Huang received B.S. and M.S. from Northwestern Polytechnical University in 1998, 2001, respectively, and PhD from the Chinese University of Hong Kong in the area of Automation and Robotics in 2005. He is currently a professor of the School of Astronautics and Vice Director of Research Center for Intelligent Robotics at the Northwestern Polytechnical University. His research interests include Space Robotics, Tethered Space Robotics, Intelligent Control, Machine Vision, Space Teleoperation. Dr. Meng received his Ph.D. from Northwestern Polytechnical University, China, in 2010. He is currently an associate professor at the School of Astronautics, Northwestern Polytechnical University. His research interests include dynamics and control of tethered space robots and intelligent spacecraft system. Dr. Guo received his PhD degree from University of Leeds in England and BSc/MSc degrees from Northwestern Polytechnical University in China. Before joined Delft University of Technology (TU Delft), he worked as Research Assistant in Tsinghua University from 2001 to 2004. He is currently a Theme Leader in TU Delft Space Institute (DSI) and an Assistant Professor in the Faculty of Aerospace Engineering, TU Delft. His research interests include small satellite, distributed space systems, and space systems engineering. Dr. Fan (Aaron) Zhang PhD received the B.Sc. (Hons) and M.Sc. degrees from Shanghai Jiao Tong University (2005 and 2008 respectively), and his Ph.D from the University of Bristol (2012). He is currently a Research Fellow in the Visual Information Laboratory at the University of Bristol, working on video compression and immersive video processing. His research interests include perceptual video compression, video quality assessment and immersive video formats. Aaron has published over 30 academic papers and has contributed to two books previous books on video compression. His work on super-resolution-based video compression, has contributed to international standardization processes and he was a co-winner of the 2017 IEEE Grand Challenge on Video Compression.