Lianfa Tian

Wuhu Hit Robot Technology Research Institute

Papers

Total Citations

H-Index

About

Lianfa Tian is a researcher focused on advancing intelligent manufacturing through the integration of robotics, additive manufacturing, and computer vision. His primary research areas include wire and arc additive manufacturing (WAAM), collaborative robotic systems, and automated weld seam detection. Tian’s major contribution lies in developing a collaborative robotic arm-based arc additive manufacturing system, which enables precise, layer-by-layer part fabrication and forming control—a critical step toward flexible, automated production of complex metal components. His work addresses key industrial challenges, such as improving manufacturing efficiency for small-batch, high-variety production runs. In parallel, Tian has explored 3D vision-based methods for extracting weld seam geometry, aiming to reduce the reliance on manual teaching for robotic welding in dynamic environments. While his most-cited papers currently show modest citation counts, they represent foundational efforts in bridging robotic manipulation with real-time sensing for adaptive manufacturing. Tian’s research holds promise for transforming how industries approach custom fabrication and automated welding, with potential applications in aerospace, automotive, and heavy equipment manufacturing.