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Updated: Jan 24, 2026

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
Research on multi-objective optimization of the interface for intelligent coal mine comprehensive mining system based
Xiaofang Yuan1,2, Xinxiang Zhang1,2, Hongzhi Yu1,2
1School of Management, Xi'an University of Science and Technology, People's Republic of China.
None:
To enhance the usability and operational comfort of the control interface in an intelligent coal mining comprehensive system, this study developed a multi-objective optimization model based on six dimensions: hierarchy, correlation, simplicity, comfort, reachability and visibility. The model was solved using a particle swarm optimization algorithm, and the optimized interface was validated through integration of Jack ergonomic simulation and the QN-MHP cognitive modeling approach. Experimental results showed that the optimized interface significantly improved operator performance: task completion time decreased by 16.2%, error rate was reduced by 75.0% and visual search time decreased by 13.2%. Cognitive load was also alleviated, with reduced utilization of the visual subsystem, central processing module and right-hand operation module, accompanied by increased processing speeds. In addition, the optimized layout improved upper-limb comfort and operational efficiency. The proposed method provides theoretical and methodological support for multi-objective optimization and multimodal validation of industrial human-machine interfaces.
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