Home Page - Yilong Chen 陈义龙
Yilong Chen is an Ph.D student in Robotics & Intelligent Construction Automation Lab (RICAL) at Georgia Tech. Previously, he received a B. Eng. degree from Zhejiang University and three M. S. degrees from the University of Tokyo, UT Austin, and Georgia Tech. Before enrolled in the Ph.D program, he worked as a BIM software engineer at Applied Technology (応用技術株式会社) in Japan.
His work sits where robot 3D perception, spatial memory and navigation meet. He builds real-time, LiDAR-centric systems that let robots work safely among people in changing environments. These include LiDAR–camera fusion for tracking workers, a temporal scene graph that detects dynamic changes on an onboard CPU, and graph neural networks that learn human-aware path corrections from unlabeled demonstrations and transfer from simulation to a quadruped robot. He ships working ROS software and tests it with human participants. He is looking for robotics perception or autonomy roles.
我是陈义龙，佐治亚理工学院机器人与智能建造自动化实验室博士生，导师为 Yong K. Cho 教授。我的研究聚焦于机器人三维感知、空间记忆与导航的交叉领域。我开发以激光雷达为核心的实时系统，使机器人能够在动态变化的环境中与人安全协作，主要成果包括：用于动态物体跟踪的激光雷达–相机融合方法；可在机载CPU上检测动态变化的时序场景图；以及基于图神经网络、从无标注示范中学习人感知路径修正，并实现从仿真到四足机器人迁移的导航模型。我交付可实际运行的ROS软件，并通过真人实验进行验证。目前正在寻求机器人感知或自主系统方向的工作机会。