Shuxian Zhu
Papers
2
Total Citations
9
H-Index
1
About
Dr. Shuxian Zhu is a rising researcher at the intersection of industrial automation and intelligent robotic control. Her work primarily focuses on developing advanced algorithms for path planning and networked control systems, with applications spanning from material scheduling in Industrial Internet scenarios to the precise balance control of motion robots. Dr. Zhu’s most impactful contribution is her improved RRT* algorithm for path planning, which has already garnered 8 citations since its 2025 publication, signaling strong early interest from the robotics community. In a complementary line of inquiry, she has pioneered an observer-based dual-dynamic event-triggered mechanism for networked control systems, a mathematically rigorous approach that models motion robot dynamics using Newtonian mechanics to enhance stability and communication efficiency. This work, though recently published, lays critical groundwork for reducing network congestion in real-time robotic applications. By addressing both the high-level planning and low-level control challenges in autonomous systems, Dr. Zhu is establishing herself as a thoughtful contributor to the next generation of intelligent, networked robotics.
Research Focus
Key Achievements
Top Papers
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- 2