Kuosheng Jiang
Papers
1
Total Citations
4
H-Index
1
About
Kuosheng Jiang is a leading researcher in intelligent mining systems and autonomous robotics, with a primary focus on optimizing underground coal mine logistics. His most-cited work, "Multi-Objective Scheduling Strategy of Mine Transportation Robot Based on Three-Dimensional Loading Constraint" (2023), tackles critical inefficiencies in auxiliary transportation systems by proposing an intelligent material distribution strategy. This research addresses the dual challenges of low automation and high physical demands on workers, introducing a novel scheduling framework that accounts for three-dimensional loading constraints—a significant advancement for real-world mine environments. With 4 citations already in a short time, this paper signals growing impact in the field of mining automation and robotics. Jiang's contributions lie at the intersection of industrial engineering, multi-objective optimization, and autonomous vehicle coordination, offering practical solutions to enhance safety and productivity in hazardous underground settings. His work is particularly notable for bridging theoretical scheduling models with the harsh constraints of underground operations, making him a key figure in the push toward fully automated, intelligent mines.
Research Focus
Key Achievements
Top Papers
- 1