Baizhen Li

Papers

Total Citations

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About

Baizhen Li is a researcher advancing the frontiers of intelligent manufacturing, with key contributions in robotic path planning and additive manufacturing. His work addresses critical challenges in industrial automation, particularly for welding and 3D printing processes. Li’s most cited paper, “Welding robot path planning based on ant colony algorithm” (2024, 3 citations), introduces an adaptive, multi-objective path planning method for arc welding. By optimizing the pheromone updating strategy of the ant colony algorithm and incorporating path constraints, his approach significantly improves the efficiency and accuracy of weld joint collection—a vital step for complex, multi-weld tasks. In another notable study, “Collaborative robotic arm-based arc additive manufacturing system and part forming control study” (2022, 2 citations), Li developed an experimental platform integrating a collaborative robotic arm, welding machine, and industrial controller for wire and arc additive manufacturing (WAAM). This work demonstrates how layer-by-layer deposition can be precisely controlled to produce high-quality metal parts. Together, these contributions highlight Li’s impact on smart manufacturing, offering practical solutions for reducing production time and enhancing part quality. His research is essential reading for engineers and students exploring automation, robotics, and sustainable fabrication techniques.