Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標：支持以下联合国可持续发展目标：
Abstract
Dr. Ming LIU is currently leading the Robotics and Multi-perception Lab (http://ram-lab.com). Their mission and dedication are to create intelligent systems that are able to autonomously operate in complex and diverse environment, with multiple perception approaches. The group is fascinated by novel robot concepts that are best adapted for acting with large-scale and dynamic environments and different terrains. They are furthermore keen to give these robots the intelligence to autonomously navigate in challenging environments. This includes novel methods and tools for human-robot interaction, perception, cognition, knowledge abstraction, mapping, learning, representation, planning and execution. In the seminar, Dr. Liu will introduce latest results in the relevant fields, such as visual homing, visual navigation, 3D mapping, multi-robot applications, low-cost navigation, deep-learning for robotics and IoT, etc.
Speaker's Biography
Ming Liu is an IEEE member. He received the BA degree in Automation at Tongji University in 2005. In 2006, he stayed one year in Erlangen-Nünberg University and Fraunhofer Institute IISB, Germany, as a visiting scholar. He graduated as PhD from the Department of Mechanical and Process Engineering of ETH Zürich in Dec. 2013, supervised by Prof Roland Siegwart. He was Visiting Assistant Professor at HKUST in 2013-2015 and is currently Assistant Professor at City University of Hong Kong.
He has been awarded two GRF grants from RGC in Hong Kong as PI. He was also granted one NSFC young researcher grant and was involved in several NSF projects, and National 863-Hi-Tech-Plan projects in China. He has authored around 60 papers, including two regular papers in IEEE Transactions on Robotics. His current Google Scholar H-index is 15.
He won the second place of EMAV’09 (European Micro Aerial Vehicle Competition) and two awards from IARC’14 (International Aerial Robot Competition) by supervising the HKUST UAV team. He won the Best Student Paper Award as first author at MFI 2012 (IEEE International Conference on Multisensor Fusion and Information Integration), the Best Paper Award in Information at ICIA 2013 (IEEE International Conference on Information and Automation) as first author, the Best RoboCup Paper Award at IROS 2013, the Best Conference Paper Award at IEEE-CYBER 2015, Best Student Paper Finalist at RCAR 2015, Best Student Paper Finalist at ROBIO 2015. He won twice the innovation contest Chunhui Cup Winning Award in 2012 and 2013. He is the Program Chair of 2016 IEEE Conference on Real-time Computing and Robotics and Program Organization Chair of 2017 International Conference on Computer Vision System.
Ming Liu’s research interests include dynamic environment modeling, 3D mapping, machine learning and visual control. He’s particularly interested in the investigation of novel, real-time on-line approaches in solving mobile robot mapping and navigation. In general, he can be stimulated by research in all robotic and intelligent system fields.
Ming Liu is an IEEE member. He received the BA degree in Automation at Tongji University in 2005. In 2006, he stayed one year in Erlangen-Nünberg University and Fraunhofer Institute IISB, Germany, as a visiting scholar. He graduated as PhD from the Department of Mechanical and Process Engineering of ETH Zürich in Dec. 2013, supervised by Prof Roland Siegwart. He was Visiting Assistant Professor at HKUST in 2013-2015 and is currently Assistant Professor at City University of Hong Kong.
He has been awarded two GRF grants from RGC in Hong Kong as PI. He was also granted one NSFC young researcher grant and was involved in several NSF projects, and National 863-Hi-Tech-Plan projects in China. He has authored around 60 papers, including two regular papers in IEEE Transactions on Robotics. His current Google Scholar H-index is 15.
He won the second place of EMAV’09 (European Micro Aerial Vehicle Competition) and two awards from IARC’14 (International Aerial Robot Competition) by supervising the HKUST UAV team. He won the Best Student Paper Award as first author at MFI 2012 (IEEE International Conference on Multisensor Fusion and Information Integration), the Best Paper Award in Information at ICIA 2013 (IEEE International Conference on Information and Automation) as first author, the Best RoboCup Paper Award at IROS 2013, the Best Conference Paper Award at IEEE-CYBER 2015, Best Student Paper Finalist at RCAR 2015, Best Student Paper Finalist at ROBIO 2015. He won twice the innovation contest Chunhui Cup Winning Award in 2012 and 2013. He is the Program Chair of 2016 IEEE Conference on Real-time Computing and Robotics and Program Organization Chair of 2017 International Conference on Computer Vision System.
Ming Liu’s research interests include dynamic environment modeling, 3D mapping, machine learning and visual control. He’s particularly interested in the investigation of novel, real-time on-line approaches in solving mobile robot mapping and navigation. In general, he can be stimulated by research in all robotic and intelligent system fields.