Papers
3
Total Citations
7
H-Index
2
About
Dr. Haiqiao Liu is a pioneering researcher at the intersection of robotics, computer vision, and artificial intelligence, with a primary focus on advancing autonomous navigation and intelligent perception systems. His most influential work includes the development of a multi-resolution auxiliary historical point cloud matching algorithm for lidar-based simultaneous localization and mapping (SLAM), which significantly improves real-time performance and computational efficiency—a critical contribution to autonomous robot navigation. Dr. Liu has also made notable strides in structural health monitoring, proposing a hybrid GAM attention mechanism and RepGFPN method for detecting wall cracks in high-altitude cleaning robots, addressing the challenge of detecting cracks of varying shapes and scales on building exteriors. Most recently, his innovative work on Retrieval-Augmented Hierarchical in-context Reinforcement Learning (RAHL) integrates large language models with hierarchical reinforcement learning for task planning in robotics, demonstrating a novel approach to decision-making. With over 7 citations across his key publications, Dr. Liu’s research is shaping the future of autonomous systems, from cleaning robots to complex task planning, and his work continues to inspire advances in practical, real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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