Feng Shang
Papers
1
Total Citations
4
H-Index
1
About
Feng Shang is a researcher in intelligent control and autonomous systems, with a primary focus on sensorless multirobot coordination for industrial applications, particularly in underground coal mining environments. His most cited work, "A Noncommunicative Memory-Pushing Fuzzy Control Strategy for Sensorless Multirobot Systems" (2020), introduces an innovative control framework for heavy-duty mobile support robots (HMSRs) and middle trough (MT) manipulation on fully mechanized coal mining faces. This paper addresses the critical challenge of unstable communication in hazardous underground settings by developing a memory-pushing fuzzy control strategy that enables robots to operate without continuous data exchange. Though early in its citation impact (4 citations), the work represents a significant contribution to robust, decentralized multirobot coordination in extreme environments. Shang's research bridges the gap between theoretical control engineering and practical mining automation, offering solutions for safer, more efficient operations in confined, communication-limited spaces. His work is particularly relevant for researchers in industrial robotics, fuzzy logic control, and sensorless systems, highlighting the potential for intelligent automation in challenging real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1