仿生交叉学科创新型人才的多维度培养模式探究——以《仿生机器人》辅修专业课程教学为例

Research on Multi-Dimensional Training Mode of Bionic Crossover Innovative Talents—Taking “Bionic Robot” Minor Course Teaching as an Example

摘要: 本文面向《仿生机器人》辅修专业课程，该课程集机械工程、电子科技、控制理论、自动化技术与计算机科学等多学科的知识与技术于一体。该课程面向具有不同专业和学科背景的本科生开放，基于课程学生专业背景和仿生机器人研究特点，构建多维度本科生教学培养模式，将在课程的基础与前沿、理论与实践、硬件与软件、自学与分享四个维度进行教学实践与评估，促进学生在教育与科研中实现知识和技能的互补，激发学生的创新思维和协作能力，结合仿生交叉学科特点，最终目标是培养仿生交叉学科创新型人才，为新人工智能时代提供仿生机器人专业人才资源储备。

Abstract: This topic is oriented to the minor program of Bionic Robot, which integrates the knowledge and technology of multiple disciplines, such as mechanical engineering, electronic technology, control theory, automation technology, and computer science. The course is open to undergraduate students with different professional and disciplinary backgrounds. Based on the professional background of the students in the course and the characteristics of bionic robotics research, we will construct a multi-dimensional undergraduate teaching and training model, which will carry out the teaching practice and assessment in the four dimensions of the course, namely, the foundation and the frontier, the theory and the practice, the hardware and the software, and the self-study and the sharing, and will promote students to realize the complementarity of knowledge and skills in the education and the scientific research and stimulate the innovation and collaboration ability, combined with the bionic cross-cutting knowledge and technology. The ultimate goal is to cultivate innovative talents in bionic cross-discipline and to provide bionic robotics professionals with a reserve of talent resources for the new artificial intelligence era.