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- Longmei LiSuggested from co-authorship
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Works10 from public data
- Research on Automatic Recharging Technology for Automated Guided Vehicles Based on Multi-Sensor Fusion5
Improvements in docking success rate and docking error demonstrate the effectiveness of the proposed sensor fusion method, ensuring more reliable, efficient, and precise operations for AGVs in complex indoor environments.
- A Hybrid Ant Colony Optimization and Dynamic Window Method for Real-Time Navigation of USVs4
Simulation studies show that the proposed sensor-oriented hybrid method achieves shorter paths, faster convergence, smoother trajectories, larger safety margins, and higher success rates against dynamic obstacles compared with standalone ACO or DWA.
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- Research on an Autonomous Recognition and Grasping Manipulator System Based on YOLOv8–
An intelligent robotic arm system leveraging YOLOv8 to tackle perception delays and low target recognition accuracy in complex battlefield environments is presented, and a cohesive "perception-decision-execution" framework is developed.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-11. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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