Papers
8
Total Citations
121
H-Index
5
About
Jiamin Guo is a robotics researcher whose work sits at the intersection of autonomous navigation, real-time perception, and manipulation for robots operating in challenging environments. Their major contributions span two critical domains: live working robots for power distribution lines and quadruped robots equipped with manipulators. In the first area, Guo developed an autonomous navigation system featuring real-time detection and motion planning, enabling a manipulator to safely grasp power components—a breakthrough for hazardous live-line maintenance (54 citations). For quadruped robots, Guo has pioneered frameworks for leader-following, object recognition, and autonomous operation, including a day/night adaptive federated filter method and a grasp detection controller for disaster relief transportation. Notably, Guo’s work on human action recognition using skeleton heatmaps from two-stage pose estimation (18 citations) and lower-body Euler angle time series via Optimized Kinect CNN (19 citations) demonstrates a deep expertise in computer vision and human-robot interaction. With over 120 total citations, Guo’s research is shaping the future of autonomous robots that can navigate complex outdoor terrains, interact with their environment, and perform precise manipulation tasks—advancing both industrial safety and field robotics.
Research Focus
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Top Papers
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