Papers
6
Total Citations
72
H-Index
3
About
Fengying Ma is a leading researcher in robotics and intelligent control systems, with a focus on manipulator dynamics, human-computer interaction, and multi-robot coordination. Her most impactful work, "Sliding Mode Control of Manipulator Based on Improved Reaching Law and Sliding Surface" (36 citations), addresses the critical challenge of balancing convergence speed and chattering in sliding mode control, proposing novel exponential reaching laws and nonlinear sliding surfaces validated through Lyapunov stability analysis. Ma has also advanced gesture-based interaction with her "Fingertip Detection Algorithm Based on Maximum Discrimination HOG Feature in Complex Background" (15 citations), enhancing accuracy for VR and robot control applications. Her contributions extend to teleoperation with "Terminal Traction Control of Teleoperation Manipulator With Random Jitter Disturbance" (13 citations), where she developed active disturbance rejection sliding mode control to mitigate joint jitter. In smart agriculture, she explored distributed averaging for multi-robot picking systems using sampled control, while her earlier work on Compound PRM for tractor-trailer path planning demonstrates sustained innovation. With over 70 total citations across these key papers, Ma’s research bridges theoretical control advances and practical robotic applications, making her a notable figure in modern robotics.
Research Focus
Key Achievements
Top Papers
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