Papers
13
Total Citations
186
H-Index
6
About
Zhanxia Zhu is a leading researcher in robotics and intelligent control, whose work bridges the gap between complex motion planning and real-world autonomous systems. Her primary research areas include swarm intelligence optimization, multirobot task allocation, and trajectory planning for space robotics. Zhu's most impactful contribution is her pioneering work on hybridizing Particle Swarm Optimization (PSO) with Differential Evolution for mobile robot global path planning, a paper that has earned 80 citations and is widely recognized for addressing the NP-hard challenges of autonomous navigation. She has also advanced the field of cooperative robotics with her 38-cited study on PSO-based multirobot task allocation, offering scalable solutions for complex coordination problems. In space robotics, Zhu has developed innovative methods for free-floating and free-flying robots, including sampling-based motion planning without inverse kinematics and dynamic scaling for microgravity environments. Her recent work on backstepping model-free adaptive control and saturation-optimized sliding-mode control demonstrates her ongoing commitment to robust, real-time control of nonlinear systems. With over 170 total citations and a growing portfolio of high-impact publications, Zhu is shaping the future of autonomous robotics in both terrestrial and extraterrestrial applications.
Research Focus
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