Xiangwei Zhu
Papers
3
Total Citations
42
H-Index
3
About
Xiangwei Zhu is a pioneering researcher in bio-inspired and multi-sensor navigation systems for autonomous robotics. His work focuses on developing robust, low-complexity navigation solutions that operate reliably in challenging environments. Zhu’s major contributions include the creation of ORB-NeuroSLAM, a brain-inspired 3D SLAM system that mimics neural processing to achieve efficient and robust navigation in unknown settings (20 citations). He also developed Acoustic-VINS, the first tightly coupled acoustic-visual-inertial navigation system for autonomous underwater vehicles, solving the critical problem of global positioning drift in subsea environments (18 citations). Most recently, Zhu introduced a novel representation of universal successor features to enhance generalization in target-driven visual navigation, addressing a key limitation of deep reinforcement learning policies (4 citations). His work bridges neuroscience, underwater robotics, and AI, with direct applications in unmanned systems from drones to submarines. Zhu’s interdisciplinary approach has established him as a leading voice in next-generation autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1ORB-NeuroSLAM: A Brain-Inspired 3-D SLAM System Based on ORB Features20 citations · 2023
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