Lika Xue

East China University of Science and Technology

Papers

Total Citations

H-Index

About

Lika Xue is a researcher focused on advancing industrial automation through intelligent path planning for welding robots. Her work centers on optimizing robot trajectories to enhance manufacturing efficiency, with a particular emphasis on collision-free navigation in complex environments. Xue’s most cited paper, “Welding Robot Collision-Free Path Optimization” (2017, 23 citations), establishes a foundational approach that prioritizes obstacle avoidance as a primary constraint while minimizing path length to boost welding productivity. She further refines these methods in “Welding Robot Path Optimization Based on Hybrid Discrete PSO” (2014, 9 citations), where she adapts particle swarm optimization for discrete welding tasks, leveraging its simplicity and rapid convergence to improve planning accuracy. Expanding into multi-robot systems, her work “Dual-Welding Robots Collision-Free Path Planning” (2017, 5 citations) addresses the added complexity of coordinating two robots without interference. Collectively, Xue’s contributions provide practical solutions for real-world manufacturing, demonstrating how algorithmic optimization can directly impact production speed and safety. Her research is particularly valuable for students and engineers seeking to integrate intelligent robotics into industrial workflows.