Papers
2
Total Citations
30
H-Index
2
About
Zhengsheng Chen is a leading researcher in robotics, specializing in advanced control and trajectory planning for robotic manipulators. His work addresses critical challenges in robot autonomy, particularly in ensuring safe and efficient operation under real-world constraints. Chen’s major contributions include developing a model-free finite-time fault-tolerant control method, which enables robot manipulators to maintain performance even when facing unknown disturbances, input saturation, and actuator faults. This approach, detailed in his most-cited paper (17 citations), leverages an accuracy-driven integral terminal sliding mode surface to guarantee rapid, robust recovery. Additionally, he pioneered a novel hybrid cubic B-spline and convex optimization technique for smooth, near time-optimal trajectory planning (13 citations), solving the complex problem of generating jerk-limited joint paths. By integrating fault tolerance with optimal motion planning, Chen’s work directly enhances the reliability and precision of industrial and service robots. His research is highly influential, providing foundational methods for engineers and researchers seeking to deploy resilient, high-performance robotic systems in unpredictable environments.
Research Focus
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Top Papers
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