Siyue Sun

Papers

Total Citations

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About

Siyue Sun has made impactful contributions to the field of mobile robotics, with a particular focus on path planning and obstacle avoidance. Their most cited work, "Path planning for mobile robot using the novel repulsive force algorithm" (2018), addresses critical limitations in the classic Artificial Potential Field (APF) method, specifically the problems of local minima and unreachable targets. By introducing a Gaussian function tied to the distance between the robot and its target, Sun’s novel repulsive force algorithm enhances navigation efficiency and safety in complex environments. This research, with 4 citations, demonstrates Sun’s ability to refine foundational algorithms for practical robotic applications. Their work is especially valuable for students and researchers interested in autonomous navigation, offering a clear solution to longstanding challenges in mobile robot motion planning. Sun’s contributions underscore a commitment to advancing intelligent systems, making their research a useful reference for those developing robust, real-world robotic pathfinding strategies.