{"title":"Simulated humanoid robots for e-learning","authors":"Hans-Dieter Burkhard","doi":"10.1109/INTELCIS.2015.7397181","DOIUrl":null,"url":null,"abstract":"Robots will change our life dramatically. People are interested to know more about Robotics and AI. Teaching has to regard these developments. While learning by doing has great advantages, experimenting with real robots is limited by the available resources: Complex hardware is costly, and it needs time and experience for setup and maintenance. Simulated robots can be used as alternative. Our RoboNewbie project is a basic framework for experimenting with simulated robots. It serves as an inspiration for beginners, and it provides room for many challenging experiments. The RoboNewbie agents run in the simulation environment of SimSpark RCSS, the official RoboCup 3D simulator, where the simulated robots are models of the humanoid Robot NAO of the French Company Aldebaran. Different example agents provide easily understandable interfaces to simulated sensors and effectors of the robot as well as simple control structures. The framework has been successfully used at different courses where the participants needed only few hours to understand the usage of the framework and to develop own agents for different tasks.","PeriodicalId":6478,"journal":{"name":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTELCIS.2015.7397181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Robots will change our life dramatically. People are interested to know more about Robotics and AI. Teaching has to regard these developments. While learning by doing has great advantages, experimenting with real robots is limited by the available resources: Complex hardware is costly, and it needs time and experience for setup and maintenance. Simulated robots can be used as alternative. Our RoboNewbie project is a basic framework for experimenting with simulated robots. It serves as an inspiration for beginners, and it provides room for many challenging experiments. The RoboNewbie agents run in the simulation environment of SimSpark RCSS, the official RoboCup 3D simulator, where the simulated robots are models of the humanoid Robot NAO of the French Company Aldebaran. Different example agents provide easily understandable interfaces to simulated sensors and effectors of the robot as well as simple control structures. The framework has been successfully used at different courses where the participants needed only few hours to understand the usage of the framework and to develop own agents for different tasks.
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用于电子学习的模拟人形机器人
机器人将极大地改变我们的生活。人们有兴趣更多地了解机器人和人工智能。教学必须考虑到这些发展。虽然边做边学有很大的优势,但用真正的机器人进行实验受到可用资源的限制:复杂的硬件成本很高,而且需要时间和经验来进行设置和维护。模拟机器人可以作为替代方案。我们的RoboNewbie项目是一个模拟机器人实验的基本框架。它为初学者提供了灵感,并为许多具有挑战性的实验提供了空间。RoboNewbie代理在官方机器人世界杯3D模拟器SimSpark RCSS的模拟环境中运行,其中模拟的机器人是法国公司Aldebaran的人形机器人NAO的模型。不同的示例代理提供了易于理解的接口来模拟机器人的传感器和效应器以及简单的控制结构。该框架已经成功地用于不同的课程,参与者只需要几个小时就可以理解框架的用法,并为不同的任务开发自己的代理。
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