Papers

2

Total Citations

13

H-Index

2

About

Jiahe Cui is a researcher at the forefront of intelligent perception systems, with key contributions spanning adaptive LiDAR technology and semantic simultaneous localization and mapping (SLAM) for mobile robotics. Their work addresses critical limitations in autonomous navigation and environmental sensing. Cui’s most cited paper, “αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System” (2024, 7 citations), introduces a novel approach to overcome the restricted field of view, low resolution, and inflexible focusing of current LiDAR sensors—enabling more versatile applications in robotics, autonomous driving, and urban planning. Additionally, their research on “Semantic SLAM for Mobile Robot with Human-in-the-Loop” (2022, 6 citations) advances human-robot collaboration by integrating semantic understanding into SLAM frameworks, improving robot autonomy in dynamic environments. With a growing citation impact, Cui’s work demonstrates a clear trajectory toward more adaptive, high-fidelity sensing systems. Their achievements highlight a commitment to bridging hardware innovation with intelligent software, making them a promising voice in the evolution of autonomous systems and spatial intelligence.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
αLiDAR: An Adaptive High-Resolution Panoramic LiDAR System
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chinese University of Hong Kong, Beihang University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago