Guangying Ma
Papers
4
Total Citations
61
H-Index
3
About
Guangying Ma is a leading researcher in robotics and intelligent control systems, with a primary focus on adaptive control strategies for robot manipulators and innovative locomotion for novel robotic platforms. Ma's most significant contributions lie in developing advanced control schemes that address the critical challenge of uncertain dynamics in robotic systems. Their seminal 2012 work, "Adaptive Fuzzy Computed-Torque Control for Robot Manipulator with Uncertain Dynamics" (40 citations), pioneered a hybrid approach that combines the strengths of conventional computed-torque control with fuzzy logic compensators, achieving robust trajectory tracking. This was further refined in their 2014 study on computed-torque plus robust adaptive compensation control (15 citations), which integrated H∞ control to handle both structured and unstructured uncertainties. Beyond manipulator control, Ma has ventured into novel robot design, including the dynamic modeling and crawling gait control of a six-strut spherical tensegrity robot (2024) and gait planning for amphibious quadruped robots (2018). These works demonstrate a commitment to pushing the boundaries of robotics from foundational control theory to practical, real-world applications in challenging environments.
Research Focus
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Top Papers
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