Papers
1
Total Citations
29
H-Index
1
About
Shuo Cai is a researcher specializing in control systems, trajectory planning, and autonomous navigation for mobile robots, with a particular focus on bridging terrestrial robotics and space vehicle applications. Their most-cited work, "Trajectory planning and tracking control of a ground mobile robot: A reconstruction approach towards space vehicle" (2018, 29 citations), introduces a novel reconstruction-based framework that adapts ground robot control strategies for space vehicle dynamics. This contribution addresses critical challenges in precision motion planning under constrained environments, offering a unified approach that enhances both terrestrial and extraterrestrial mobility. By integrating advanced tracking algorithms with trajectory optimization, Cai’s research provides practical solutions for autonomous systems requiring high reliability and adaptability. The paper’s citation count reflects its growing influence in robotics and aerospace engineering communities. Cai’s work stands out for its interdisciplinary impact, demonstrating how ground-based methodologies can be repurposed for space exploration—a key step toward scalable, cost-effective autonomous systems. Their research continues to inspire innovations in real-time control, sensor fusion, and adaptive navigation, making Shuo Cai a notable contributor to the future of intelligent robotics.
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Top Papers
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