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About

Lijun Jiang is a pioneering researcher at the intersection of human-computer interaction and advanced manufacturing robotics. His work spans two transformative domains: brain-computer interfaces (BCI) for rehabilitation and intelligent robotic systems for industrial automation. In his most cited work (65 citations), Jiang developed a groundbreaking BCI-based 3D game that translates users' attention states into virtual hand control, offering a novel therapeutic tool for attention training and cognitive rehabilitation. This early contribution demonstrated how neural signals could be harnessed for engaging, gamified therapy. In parallel, Jiang has made significant strides in industrial robotics, particularly for spray-painting and electrochemical machining. His research on adaptive lead-through teaching control (2022) addresses critical challenges in robot programming efficiency for small-batch, multi-product manufacturing. He has also advanced precision manufacturing through multi-physics field coupling models for gap compensation in robotic electrochemical milling (2024) and Lagrangian dynamics modeling for spray robots (2021). With publications spanning from 2011 to 2024, Jiang's work bridges human-centered computing and industrial automation, showcasing how robotics can serve both therapeutic and manufacturing needs.