Shuming Deng
Papers
3
Total Citations
141
H-Index
2
About
Shuming Deng is a robotics and control systems researcher whose work focuses on the intelligent coordination of cooperative robotic systems. His research sits at the intersection of decentralized control theory, adaptive fuzzy logic, and multi-manipulator collaboration — areas of growing importance as autonomous robotic systems become increasingly deployed in complex, real-world environments. Deng's most significant contributions center on developing decentralized adaptive fuzzy control frameworks for cooperating robotic manipulators. His landmark 2014 paper on fuzzy control with impedance interaction has garnered 96 citations, demonstrating substantial influence within the robotics control community. In this and related works, he introduced innovative approaches to modeling contact forces through nonlinear potential gradients, enabling more accurate representation of surface deformation during object manipulation — a critical challenge in collaborative robotics. Complementing this, his research on decentralized adaptive controllers incorporating disturbance observers addresses the practical realities of uncertain dynamics and external perturbations, earning an additional 43 citations. Together, these contributions establish a coherent and technically rigorous body of work that advances safe, robust coordination between multiple robotic agents. For students and researchers working in multi-robot systems, adaptive control, or human-robot interaction, Deng's publications offer foundational methodologies for tackling cooperative manipulation challenges.
Research Focus
Key Achievements
Top Papers
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