人工智能时代研究生机器人课程教学模式探索  

作　　者：李星辉 李博亮 曾龙 

机构地区：[1]清华大学深圳国际研究生院,广东深圳518055

出　　处：《高教学刊》2024年第36期59-62,67,共5页Journal of Higher Education

基　　金：清华大学深圳国际研究生院机器人与仿生学精品课建设项目(01020100301)。

摘　　要：该文面向研究生群体的教学改革需求,旨在提出在人工智能时代下机器人课程的教学模式。针对现有机器人课程有限教学时间内硬件和软件知识模块分离、实际场景线条不够突出、人工智能技术导入不充分的现状,该文通过构建实际场景知识主线、增加智能感知的前沿技术知识模块、设置高匹配度的实践环节,加深学生对机器人整体系统及其智能化发展方向和路径的理解。通过内容和教学模式的改革,提升课程教学质量,以更好地满足学生的科研与从业需求及领域内企业对人才的需求。This paper addresses the teaching reform needs for graduate students,aiming to propose a teaching model for robotics courses in the era of artificial intelligence.In response to the current situation where the hardware and software knowledge modules are separated within limited teaching time,the actual scene lines are not sufficiently highlighted,and the introduction of artificial intelligence technology is inadequate,this paper constructs a knowledge mainline based on practical scenes,adds cutting-edge technology knowledge modules for intelligent perception,and sets up highly compatible practical components.These measures deepen students'understanding of the overall robotics system and its intelligent development directions and paths.Through reforms in content and teaching models,we enhance the quality of course instruction to better meet the research and employment needs of students and the talent requirements of enterprises in the field.

关 键 词：机器人课程 研究生教学 智能感知 人工智能 课程改革 

分 类 号：G643[文化科学—高等教育学]