Papers
5
Total Citations
64
H-Index
5
About
Feng Xiang is a leading researcher at the forefront of digital twin technology and human-robot collaboration (HRC). His work focuses on integrating digital twins with advanced data management and decision-support systems to enhance industrial automation. Xiang’s key contributions include developing a digital twin model for robot and multi-object grasping in complex stacking environments, which has garnered 20 citations and provides a foundational framework for intelligent manufacturing. He has pioneered blockchain-based cloud-edge collaborative data management for HRC digital twin systems (16 citations), addressing critical issues of data security and real-time synchronization. His web-based control system (11 citations) enables remote management of collaborative robots, while his expert opinion aggregation model (9 citations) offers a novel approach to assessing HRC digital twin maturity. Most recently, Xiang has explored methods to improve human comfort in collaborative settings (8 citations), emphasizing human-centric design. With a growing citation impact and a portfolio of innovative solutions, Feng Xiang is shaping the future of smart manufacturing and human-robot interaction.
Research Focus
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Top Papers
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