Yiming Cheng
Papers
2
Total Citations
4
H-Index
2
About
Yiming Cheng’s research centers on the control and trajectory planning of robotic systems, with a particular focus on space robotics and autonomous mobile platforms. In their most cited work, Cheng introduced a Particle Swarm Optimization (PSO)-based trajectory planning scheme for Free Floating Space Robots (FFSR), addressing the critical challenge of minimizing spacecraft attitude disturbances caused by manipulator motion. By leveraging momentum and angular momentum conservation laws, this approach provides an optimal control strategy that enhances the stability and precision of space-based robotic operations—a key contribution to the field of orbital servicing and debris removal. More recently, Cheng has advanced vision-based tracking for autonomous vehicles, developing a switching control framework for Mecanum wheeled mobile robots that maintains robust target tracking even during intermittent image losses due to occlusion or feature matching failures. This work bridges the gap between theoretical control design and practical vision system limitations, offering a resilient solution for real-world autonomous navigation. With a cumulative citation count reflecting foundational contributions to both space and terrestrial robotics, Cheng’s research is characterized by its focus on optimizing system performance under real-world constraints, making it highly relevant for students and researchers working at the intersection of control theory, robotics, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2