Mingming Yang

Beihang University, Henan University of Engineering

Papers

Total Citations

H-Index

About

Mingming Yang’s research bridges robotics, control theory, and next-generation wireless networks. In his foundational work on redundant robot control, Yang developed a hybrid algorithm that integrates Paden-Kahan subproblems with joint rate control, enabling both precise kinematic control and performance optimization. This approach, detailed in his 2005 paper (5 citations), offers a practical solution for managing the extra degrees of freedom in redundant manipulators—a key challenge in industrial and service robotics. More recently, Yang has turned to the intersection of robotics and communication networks. His 2019 study (3 citations) tackles cross-layer design and optimization for 5G multimedia sensor networks used in networked robots. By framing protocol stack requirements as objective functions and constraints, he proposes a utility-maximization framework that enhances the efficiency and reliability of robot-communication integration. Though his citation counts are modest, Yang’s work demonstrates a forward-looking synthesis of classical robotics with emerging 5G and IoT paradigms. His contributions are particularly relevant for researchers developing autonomous systems that must operate in bandwidth-constrained, real-time environments—a growing priority in modern robotics and cyber-physical systems.