Xiang Huo
Papers
2
Total Citations
24
H-Index
2
About
Dr. Xiang Huo is a leading researcher in intelligent robotics, specializing in human-centered environments and autonomous navigation. His work focuses on enabling service robots to operate seamlessly in complex, dynamic spaces by integrating hierarchical knowledge graphs with remote object navigation—a breakthrough that allows robots to understand and interact with their surroundings more intuitively. Huo’s 2022 paper on this topic, with 14 citations, demonstrates his influence in advancing context-aware robotic systems. He is also recognized for his innovative two-stage method for target searching in mobile robot path planning (2020, 10 citations), which addresses the critical challenge of ensuring complete visual coverage during tasks like warehouse inspection and elderly care surveillance. By tackling real-world applications—from family homes to industrial settings—Huo’s contributions are shaping the future of assistive robotics. His work not only enhances robot autonomy but also prioritizes human safety and efficiency, making him a pivotal figure in bridging the gap between robotic perception and practical deployment.
Research Focus
Key Achievements
Top Papers
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