Xiaorong Wei
Papers
3
Total Citations
31
H-Index
2
About
Xiaorong Wei is a leading researcher in intelligent mining robotics, with a primary focus on automating the critical task of coal gangue sorting. His work addresses the core challenge of replacing hazardous manual labor with high-speed robotic systems. Wei’s major contributions lie in developing advanced algorithms for multi-robot coordination and dynamic object manipulation. His most cited work, "Multi-Arm Global Cooperative Coal Gangue Sorting Method Based on Improved Hungarian Algorithm" (19 citations), revolutionized task allocation for multiple manipulators, significantly boosting sorting rates by enhancing inter-robot cooperation. He further advanced the field with "Trajectory Planning for Coal Gangue Sorting Robot Tracking Fast-Mass Target under Multiple Constraints" (10 citations), which solved the critical problem of impact load during high-speed grasping by synchronizing manipulator motion with moving targets. His latest research (2024) tackles the challenge of stable grasping for high-velocity, high-volume gangue on conveyor belts. Wei's cumulative work has laid the theoretical and practical groundwork for fully automated, efficient, and safe coal preparation plants, directly impacting industrial productivity and worker safety.
Research Focus
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Top Papers
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