Quancheng Dong

University of Jinan, Arizona State University

Papers

Total Citations

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About

Quancheng Dong is a robotics and manufacturing researcher whose work focuses on intelligent automation for industrial production, particularly in welding, additive manufacturing, and mobile robotics. His key research areas include motion control for omnidirectional mobile robots, path planning for welding robots, and wire and arc additive manufacturing (WAAM) systems. Dong’s major contributions include designing heavy-duty omnidirectional mobile robot motion control systems using steering wheel drive units to solve automatic transportation challenges in limited workspaces, and developing an adaptive path planning method for multi-objective arc welding welds by optimizing the ant colony algorithm’s pheromone updating strategy. He also built a collaborative robotic arm-based WAAM experimental platform for part forming control and proposed a 3D vision-based weld seam extraction method for butt and angle joints, addressing efficiency issues in small-batch production. His work has accumulated citations across these publications, with his 2019 paper on omnidirectional mobile robot motion control and his 2024 paper on welding robot path planning each receiving 3 citations. Dong’s research demonstrates a practical focus on integrating robotics, vision systems, and optimization algorithms to enhance automation in manufacturing environments.