This study centers on the Automation (Robotics) program at Information Engineering College, Hangzhou Dianzi University, addressing four critical gaps in traditional integration models amid the digital-intelligent era: vague definitions of core competencies, underdeveloped integration mechanisms, suboptimal talent development strategies, and barriers to scaling practical outcomes. Through systematic inquiry into integration frameworks and talent cultivation pathways, the research establishes a core competency framework tailored to digital-age Automation (Robotics) programs, dissects the internal dynamics of how industry-education partnerships drive capability building, and designs implementable talent development solutions. Ultimately, it delivers replicable practical paradigms and theoretical frameworks. These findings not only support the Information Engineering College, Hangzhou Dianzi University of Science and Technology in refining its talent pipeline and boosting program competitiveness but also offer actionable insights and theoretical guidance for institutions nationwide seeking to advance industry-education collaboration and prepare Automation (Robotics) professionals.