Yang Ma-ying
Papers
2
Total Citations
8
H-Index
2
About
Yang Ma-ying’s research focuses on advancing multi-agent coordination and robotic control, with key contributions in robot soccer systems and vision-based manipulation. In her most-cited work, “Action utility prediction and role task allocation in robot soccer system” (2012, 5 citations), she tackles the challenge of cooperation in multi-agent systems by enhancing role execution and decision-making in dynamic environments—a foundational problem for autonomous teamwork. Her later study, “Image Jacobian matrix identification based on Kalman filtering and visual predictive control of manipulator” (2016, 3 citations), introduces a novel visual predictive control algorithm that uses Kalman filtering to estimate the image Jacobian matrix online, overcoming modeling inaccuracies and handling constraints in real-time robot control. While her citation counts reflect a niche but growing impact, her work bridges theoretical multi-agent coordination with practical robotic applications, offering insights for students and researchers in robotics, control systems, and artificial intelligence. Her achievements demonstrate a commitment to solving real-world challenges in autonomous systems, from soccer-playing robots to precise manipulator control.
Research Focus
Key Achievements
Top Papers
- 1
- 2