Yiwen Ding
Papers
2
Total Citations
59
H-Index
2
About
Yiwen Ding is a leading researcher at the intersection of robotics, knowledge engineering, and sustainable manufacturing. Her primary research focuses on developing intelligent systems for human-robot collaboration, specifically within the complex domain of product disassembly for remanufacturing. Dr. Ding’s major contribution is the pioneering application of knowledge graphs to model and manage the intricate, task-oriented information required for effective human-robot collaborative disassembly (HRCD). Her seminal 2019 paper, "Robotic Task Oriented Knowledge Graph for Human-Robot Collaboration in Disassembly," which has garnered 52 citations, established a foundational framework for increasing flexibility in disassembly systems. Building on this, her 2021 work on a "Knowledge Recommendation System for Human-Robot Collaborative Disassembly Using Knowledge Graph" (7 citations) advances the field by enabling real-time, context-aware guidance for human workers. By formalizing disassembly knowledge, Ding’s research directly addresses the limitations of traditional manual and robotic methods, paving the way for more adaptive and efficient industrial remanufacturing processes. Her work is essential reading for anyone interested in the future of smart manufacturing and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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