哈尔滨工业大学（深圳）学术讲座

演讲人Speaker: Fu Zhang

题目Title: A LiDAR-centric approach for reliable UAV navigation

时间Date:  2025年1月8日  Time: 16：00

地点Venue：H508

内容摘要Abstract:

Over the last decades, unmanned aerial vehicles (UAVs) have received intensive research interests. These UAVs have shown promising potential for various applications, including aerial photography, farming, delivery, mapping, and surveying. However, for these applications to be successful, autonomous flights in unknown environments are necessary. In this talk, we will discuss our work on developing autonomous UAVs using lidar navigation. Specifically, we will explore recent advancements in lidar technologies and focus on navigation algorithms, including localization, mapping, planning, and control. We will showcase how lidar sensors can be utilized on UAVs to enable complex navigation tasks, such as high-speed flight navigation, environment exploration, and estimation of agile UAV motion.

个人简介（About the Speaker）:

Dr. Fu Zhang is an Associate Professor in the Mechanical Engineering Department at the University of Hong Kong (HKU). His research focuses on the unmanned aerial vehicles (UAVs) and light detection and ranging (LiDAR) simultaneous localization and mapping (SLAM). Dr. Zhang has worked on various topics of UAVs, including design, navigation, control, and perception, as well as LiDAR SLAM algorithms, such as odometry, place recognition, mapping, and multi-sensor fusion. His team received the IROS’ 23 Best Paper Award on Robot Mechanisms and Design and the ICRA23 Best Mechanical Design Award in workshop on Agile Movements: Animal Behavior, Biomechanics, and Robot Devices. His work are selected for the TMECH’ 23 Best Paper Award Finalist, IROS’ 23 Best Paper Award Finalists (two), and ICRA’ 23 Outstanding Navigation Paper Finalist. His papers in Science Robotics are selected as the cover page of the journal or visually featured on the website of Science. Dr. Zhang’ s work in this field has also led to numerous championships in international SLAM challenges and has found wide applications in the industry.