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Updated: May 14, 2026
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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
Digital Twin of Coal Mine Rescue Robot-Research on Intelligence and Visualization.
Shaoze You1,2, Menggang Li2,3, Baolei Wu1
1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Sensors (Basel, Switzerland)
|May 13, 2026
Summary
Coal mine rescue robots (CMRRs) now feature digital twin integration for enhanced autonomy and environmental perception. This system enables safer, more effective underground rescue operations by improving navigation and real-time data visualization.
Area of Science:
- Robotics and Automation
- Geospatial Engineering
- Mining Engineering
Background:
- Manual mine rescue operations in hazardous environments pose significant safety risks.
- Traditional coal mine rescue robots (CMRRs) lack autonomy and robust environmental perception, limiting their effectiveness.
- Digital twin technology offers a novel solution for virtual-real mapping and operational guidance in mining.
Purpose of the Study:
- To develop a digital twin-integrated CMRR system for autonomous navigation and environmental visualization in post-disaster mine scenarios.
- To overcome the limitations of traditional CMRRs in terms of autonomy and environmental perception.
- To enhance the safety and efficiency of mine rescue operations.
Main Methods:
- Hardware retrofitting of CMRR platform, including upgrades to perception, communication, and control modules.
- Implementation of a 3D point cloud-based autonomous navigation framework.
- Development of slope-fitting and maximum arrival probability obstacle avoidance methods using Bézier curves.
- Construction of a digital twin interactive interface for real-time monitoring and 3D reconstruction of underground environments.
Main Results:
- The digital twin-integrated CMRR system demonstrated stable autonomous navigation capabilities in a simulated post-disaster mine.
- The system maintained robust motion control under dynamic interference.
- Accurate and reliable real-time environmental data (gas parameters, roadway structures) were provided for rescue decision-making.
- Successful field tests validated the system's feasibility and effectiveness in complex, harsh mine rescue scenarios.
Conclusions:
- The developed digital twin-integrated CMRR system significantly enhances autonomous navigation and environmental awareness for mine rescue.
- The system provides crucial real-time data and visualization, enabling informed decision-making and improving rescuer safety.
- This technology represents a significant advancement in addressing the challenges of underground mine disaster response.