Papers
4
Total Citations
92
H-Index
3
About
Dr. Jianfeng Deng is a leading researcher at the intersection of space robotics and intelligent industrial automation, with a primary focus on extraterrestrial sampling technologies and knowledge-driven fault diagnosis. His most influential work, "The progress of extraterrestrial regolith-sampling robots" (2019), has garnered 79 citations, establishing him as a key voice in planetary exploration robotics. Building on this foundation, Dr. Deng has pioneered the application of knowledge graphs to industrial robot fault diagnosis—a field still in its infancy. He has developed innovative methods for constructing fault diagnosis knowledge graphs from unstructured robot logs, including a top-down approach for knowledge graph construction and a transfer learning model (Trans-SBLGCN) for event logic knowledge graphs. His work on multi-feature fusion for entity recognition and corpus construction has laid the groundwork for more intelligent, context-aware fault detection systems. By bridging the gap between space robotics and industrial AI, Dr. Deng’s research offers tangible benefits for predictive maintenance and autonomous system reliability, making him a notable figure in both domains.
Research Focus
Key Achievements
Top Papers
- 1The progress of extraterrestrial regolith-sampling robots79 citations · 2019
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