Papers
1
Total Citations
3
H-Index
1
About
Ze Wang is an emerging researcher in the field of robotics, with a focused specialization in human-robot interaction and autonomous mobile systems. His work centers on developing intelligent navigation capabilities for service robots, particularly addressing the practical challenges of real-world human-robot collaboration. Wang's most notable contribution to date is his 2025 paper, "Large Workspace Frontal Human Following for Mobile Robots Utilizing 2D LiDAR," which tackles an underexplored yet critically important problem in service robotics: enabling robots to operate in front of humans rather than simply trailing behind them. This novel approach expands the operational paradigm for mobile robots, making them more versatile and practical in real-world service environments such as hospitals, warehouses, and public spaces. By leveraging 2D LiDAR technology, Wang's research offers a cost-effective and scalable solution for large workspace navigation. Although early in his research career with 3 citations, his work addresses a meaningful gap in the existing literature and signals a promising trajectory in autonomous robot navigation and human-aware motion planning, areas of growing importance as service robotics becomes increasingly integrated into everyday life.
Research Focus
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Top Papers
- 1