Papers
4
Total Citations
59
H-Index
3
About
Guojian He is a robotics and autonomous systems researcher whose work centers on simultaneous localization and mapping (SLAM), mobile robot navigation, and intelligent perception for robotic manipulation. His most cited contribution, a 2023 overview of SLAM systems with 27 citations, synthesizes three decades of research in this foundational field, with particular emphasis on multi-sensor fusion approaches that advance the state of the art in mobile robotics, augmented reality, and virtual reality applications. Complementing this theoretical foundation, his 2018 paper on mobile robot motion control in GPS-denied outdoor environments (22 citations) demonstrates his talent for engineering practical solutions, leveraging 3D laser scanning to enable reliable autonomous navigation in large-scale, real-world settings where traditional positioning systems fail. He has further extended his expertise into robotic perception, proposing a novel RGB-D image-based method for target position and posture recognition to support autonomous grasping manipulation. His work on autonomous exploration and mapping in large-scale indoor environments using ROS and LiDAR reinforces his commitment to bridging theoretical frameworks with deployable robotic systems. Across his body of work, He has established himself as a versatile contributor to the advancement of intelligent, spatially-aware autonomous robots.
Research Focus
Key Achievements
Top Papers
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