Papers
21
Total Citations
145
H-Index
6
About
Naigong Yu is a robotics and artificial intelligence researcher whose work spans biologically inspired navigation, simultaneous localization and mapping (SLAM), and intelligent robot control. His most influential contribution, "A Bionic Robot Navigation Algorithm Based on Cognitive Mechanism of Hippocampus" (2019, 55 citations), draws on neuroscience to develop navigation systems grounded in the firing patterns of hippocampal spatial cells, offering a richer physiological basis than prior approaches. This thread of brain-inspired robotics extends to modeling rat spatial cell firing on quadruped platforms and applying central pattern generator methods to biped locomotion. Yu has also made meaningful advances in SLAM, proposing an improved Hector SLAM framework that addresses localization failures in featureless environments like corridors through sensor fusion. Beyond navigation, his research encompasses gesture recognition using RGB-D video features for human-robot interaction, underwater target detection via attention-enhanced YOLOv5, infrared-visible image fusion with generative adversarial networks, and robot learning from demonstration using Dynamic Movement Primitives. With cumulative citations exceeding 120 across his body of work, Yu's research reflects a sustained commitment to bridging biological principles with practical robotic systems, making him a notable figure at the intersection of cognitive science, computer vision, and autonomous robotics.
Research Focus
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Top Papers
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- 8Research and Implementation of Complex Task Based on DMP4 citations · 2020
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