Shaochen Xu

Papers

Total Citations

H-Index

About

Shaochen Xu is a robotics researcher whose work focuses on intelligent control and autonomous navigation, particularly in dynamic environments like robot soccer. His most cited paper, "Positioning method for robot soccer based on Kalman filter" (2017, 6 citations), addresses the critical challenge of ball tracking for a robot goalkeeper. By analyzing ball movement patterns and applying Kalman filtering, Xu developed a robust method to predict and localize the ball in real-time, enhancing a robot's defensive capabilities. This contribution is foundational for improving the responsiveness and accuracy of autonomous agents in competitive settings. In his second notable work, "A method of terminal angle modification based on artificial potential field" (2017, 2 citations), Xu tackles a limitation of traditional path planning: achieving a desired final orientation. He introduces a dynamic gravitational point to modify the artificial potential field, allowing robots to not only reach a target but also approach it at a specific angle. This innovation is valuable for tasks requiring precise end-effector positioning, such as manipulation or interception. Though his citation counts are modest, Xu's work demonstrates a clear focus on solving practical, real-world control problems, bridging theory and application in robotics.