Exploring the Talent Cultivation Model in Robotics Engineering Under the Framework of Emerging Engineering Education Based on Multi-objective Optimization Methods

To address the management and teaching challenges faced by the Robotics Engineering discipline within the context of emerging engineering education, and to enhance the quality of talent development in this field, this paper proposes an innovative implementation model. This model, guided by matrix organization and discipline-driven tasks, establishes a multi-disciplinary teaching organizational management approach through cross-disciplinary integration. By employing multi-objective optimization methods to analyze the curriculum system, it constructs a multi-objective optimization training model with the output goals of practical operation ability, innovative thinking ability, interdisciplinary integration ability, and teamwork and communication skills. Through the implementation of measures such as constructing multi-disciplinary integrated course modules, forming multi-disciplinary integrated teaching teams, and customizing flexible, interdisciplinary, and collaborative talent development programs, the aim is to provide organizational support for the cultivation of multi-disciplinary and cross-disciplinary talent in Robotics Engineering, enabling them to better adapt to the goals of emerging engineering education. This study establishes a new talent development model and forms a set of innovative teaching theories and methods, aiming to cultivate high-quality applied talents for the country and regions.