Papers
1
Total Citations
47
H-Index
1
About
Pantao Yao is a leading researcher in mobile robotics and multi-sensor fusion, with a focus on advancing Simultaneous Localization and Mapping (SLAM) technologies. Yao’s most cited work, the 2020 paper "Research on SLAM Algorithm of Mobile Robot Based on the Fusion of 2D LiDAR and Depth Camera," has garnered 47 citations and introduces a groundbreaking SLAM method that integrates data from LiDAR, RGB-D cameras, encoders, and Inertial Measurement Units (IMUs). By employing graph-based optimization for joint positioning across these four sensors, Yao’s approach significantly enhances mapping accuracy and robustness in complex environments—a critical contribution to autonomous navigation. This work demonstrates Yao’s expertise in sensor fusion, addressing key challenges in real-time localization for mobile robots. With a growing citation impact, Yao’s research is shaping the future of intelligent robotics, offering practical solutions for applications in exploration, logistics, and service robotics. Their innovative fusion framework stands as a notable achievement, bridging theoretical advances with real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1