Chengxin Yao

Papers

Total Citations

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About

Chengxin Yao is a researcher in robotics and autonomous systems, with a primary focus on path planning and trajectory optimization. His most cited work, "Robot path planning based on TGSA and three-order Bezier curve" (2018), introduces a novel approach that combines a tree-growing search algorithm (TGSA) with third-order Bezier curves to generate smooth, collision-free paths for mobile robots. This contribution addresses a critical challenge in robotics—balancing computational efficiency with path smoothness—and has garnered 6 citations, reflecting its relevance in the field. Yao’s research integrates algorithmic design with practical implementation, aiming to enhance the autonomy and safety of robotic systems in dynamic environments. His work is particularly notable for its application in industrial and service robotics, where precise and efficient navigation is essential. Through his contributions, Yao advances the development of more intelligent and adaptable robots, making his research a valuable resource for students and engineers exploring motion planning and control.