He has been involved in several brain-inspired robotics projects, including NeuroNav (Brain Inspired Robot Navigation and Grasp System), TianjiCat (Brain Inspired Robot Tracking System), NeuroGPR (Brain Inspired Robot Place Recognition System), and NeuroSLAM (Brain Inspired 3D Localization and Mapping System). Specific details about publications, awards, or other achievements are not provided.
Research Experience
His current research involves modeling neural mechanisms in the brain responsible for tasks such as spatial navigation and spatial memory to develop new brain-inspired general intelligent navigation (BGINAV) technologies for neurorobots and humans. He has developed the brain-inspired 3D SLAM system – NeuroSLAM and the brain-inspired general place recognition system – NeuroGPR. Currently, he is focusing on the NeuroPNT Project, which aims to create a brain-inspired general intelligent positioning, navigation, and timing system for neurorobots and humans.
Education
Currently an assistant research fellow at the Center for Brain-Inspired Computing Research (CBICR) and the Department of Precision Instrument at Tsinghua University, but specific details regarding his degrees, schools, advisors, and time periods are not provided.
Background
His research interests include brain-inspired robotics, navigation, brain-inspired spatiotemporal intelligence (positioning, navigation, timing), and brain-inspired spatiotemporal sensing, computing, learning, memory, and reasoning. He is dedicated to developing brain-inspired robots that can navigate and adapt to changing environments as intelligently and efficiently as humans and animals do, and he also focuses on developing new brain-inspired navigation technologies to repair or enhance the brain's positioning and navigation capabilities for patients with Alzheimer's Disease.
Miscellany
Contact: Email - yufangwen[at]tsinghua.edu.cn or fangwen.yu[at]outlook.com; Links to social media profiles like GitHub, X (Twitter), and LinkedIn are provided.