基于线上教学平台的机器人学基础课程教学改革与探索

机器人学基础课程作为机器人工程专业学生的入门必修科目,在带领学生了解和认识机器人领域基本概念原理和基本分析方法方面具有重要作用。机器人学基础课程利用线上教学平台进行教学解决了传统教学受时间、空间限制的问题,提高学生的自主学习能力和创新能力,取得了良好的教学效果。

机器人学课程的“金课”建设

机器人学课程是学校面向机器人工程专业本科学生所开设的一门专业基础课。对比“金课”应具有的“师生互动、关注过程、严格要求”三个基本特征,分析研究机器人学课程存在的问题,与“金课”的差距。在机器人学课程中引入项目式教学,建设在线课程增加与学生互动,使用Matlab软件辅助教学,带领学生参加展览会,挤出机器人学课程中的“水分”,把机器人学课程建设成学生喜爱的“金课”。

Study and application of reinforcement learning based on DAI in cooperative strategy of robot soccer

A dynamic cooperation model of multi-agent is established by combining reinforcement learning with distributed artificial intelligence(DAI),in which the concept of individual optimization loses its meaning because of the dependence of repayment on each agent itself and the choice of other agents.Utilizing the idea of DAI,the intellectual unit of each robot and the change of task and environment,each agent can make decisions independently and finish various complicated tasks by communication and reciprocation between each other.The method is superior to other reinforcement learning methods commonly used in the multi-agent system.It can improve the convergence velocity of reinforcement learning,decrease requirements of computer memory,and enhance the capability of computing and logical ratiocinating for agent.The result of a simulated robot soccer match proves that the proposed cooperative strategy is valid.