Liyang Liu holds a PhD in Robotics (2015-2019), and have worked as Research Fellow, Research Associate and Research Engineer on Robotics for leading research organisations in Australia, including the Australian Centre for Robotics (ACFR), and UTS Robotics Institute (UTS-RI). Her expertise is in robot perception and motion planning in robotic application development. Her research experience includes Computer Vision, SLAM, Mapping, Detection & Segmentation, ground vehicle navigation, arm manipulation, as well as fundamental research in Machine Learning, Optimisation and Scientific Computing. She has contributed to the development of many robotic platform, including autonomous mine-site inspection robot funded by Rio Tinto, the Sydney Harbour Bridge inspection robot funded by NSW Road and Maritime Services(RMS), and an autonomous construction mobile manipulator at UTS. Her PhD was on Observability and Convergence of Urban Visual SLAM. Prior to academia, she has worked as a software/DSP engineer for many R&D companies in the private sector, including Silverbrook Research, Sonartech Atlas and Syrinx Speech Systems. She has received numerous awards for her work, including the Best Paper Award at the 2022 Australasian Conference on Robotics and Automation (ACRA) in Brisbane, Student Travel Award at ACRA (2019), Asia Pacific ICT Award(2016-Team work).