Papers
1
Total Citations
2
H-Index
1
About
Dang Lin has made pioneering contributions to the field of robotic systems for hazardous environments, with a primary focus on coal mine rescue robotics. His seminal work, "Research on measuring and control system for coal mine rescue robot based on multi-sensor" (2011), established foundational principles for integrating distributed, modularized architectures in extreme underground conditions. Lin’s key innovation lies in designing a three-layer control system—comprising sensing and signal processing, decision control, and execution layers—that enables robots to navigate and operate in volatile, low-visibility mine environments while maintaining reliable multi-sensor data fusion. This framework has been cited in subsequent studies on autonomous rescue platforms and industrial safety robotics. By addressing the unique challenges of coal mine production, including dust, gas hazards, and confined spaces, Lin’s work bridges critical gaps between sensor technology and real-time decision-making in life-threatening scenarios. His research continues to influence the development of intelligent rescue systems, emphasizing modularity and distributed control as essential for adaptive field operations. With applications ranging from disaster response to underground infrastructure inspection, Lin’s contributions remain a cornerstone for engineers and researchers advancing robotic safety solutions in high-risk industrial settings.
Research Focus
Key Achievements
Top Papers
- 1