Multitask Allocation Model for Coal Foreign Object Sorting Robot Exhibits Significant Improvement

A recent study from the Xi'an University of Science and Technology in Xi'an, People's Republic of China, has introduced a multitask allocation model for coal foreign object sorting robots. The model, which utilizes genetic algorithms and scheduling rules, has been shown to significantly improve the allocation of tasks for coal foreign object sorting robots. The researchers found that their model, which they call the combined rule strategy based on genetic algorithm (GACRS), was able to achieve better results compared to other algorithms, such as the adaptive weights based on greedy algorithm (GAW).

Key Takeaways:

  • The study proposes a multitask allocation model for coal foreign object sorting robots based on optimal capacity and benefit.
  • The model uses the matching function, optimal capacity function, and benefit function to calculate the environmental state matrix.
  • A multi-evaluation index fitness function is designed to comprehensively consider the total mass of gangue sorting and the total number of sundry sorting.
  • The GACRS strategy is proposed to improve the allocation of tasks, which was found to be 24.73% higher than that of GAW in simulations.
  • Experimental results on the CFoSR experimental platform showed that the GACRS method achieved 14.02% higher optimal fitness value than GAW.
  • The model provides a multi-task allocation solution for intelligent coal foreign object sorting.
  • Researchers Wu Xudong, Cao Xiangang, Ding Wentao, Wang Peng, Zhang Ye, and Liu Jiahui contributed to the study.

Statistics:

  • The GACRS strategy achieved a 24.73% higher optimal fitness value compared to GAW in simulations.
  • Experimental results on the CFoSR experimental platform showed a 14.02% higher optimal fitness value for GACRS compared to GAW.
  • The study aims to improve the allocation of tasks for coal foreign object sorting robots in coal mines, non-coal mines, and other fields.

Sources:

  • Multitask allocation model of the coal foreign object sorting robot based on optimal capacity and benefit. Scientific Reports, 2025;15(1):29294.
  • Journal of Engineering. August 25, 2025; p 3339.