Xianzhe Zhao

Shenyang Institute of Automation, Northeastern University

Papers

Total Citations

H-Index

About

Xianzhe Zhao is a leading researcher at the intersection of robotics, artificial intelligence, and cognitive science, with a primary focus on brain-inspired navigation and multi-robot collaborative systems. His most impactful work, "A Review of Brain-Inspired Cognition and Navigation Technology for Mobile Robots" (2024, 37 citations), synthesizes how environmental perception, spatial cognition, and target navigation can be integrated into a unified framework, leveraging multimodal sensor data to enhance robotic autonomy. Zhao has also advanced the field of Collaborative Simultaneous Localization and Mapping (C-SLAM), as detailed in his 2023 review (9 citations), which addresses the critical challenge of enabling multiple robots to efficiently map and navigate large, complex environments through map merging and shared space recognition. His more recent work on the Adaptive Vector Field Histogram Plus method (2024, 2 citations) demonstrates a practical application in human-robot collaboration, specifically for intelligent wheelchair path planning—a technology aimed at improving mobility for the elderly and disabled. Through these contributions, Zhao is shaping the future of autonomous navigation systems, bridging theoretical frameworks with real-world assistive technologies.