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Performance improvement of a robot photographer using a multiple human detection system to activate the community

机译:使用多人检测系统激活社区的机器人摄影师的性能提高

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Service robots for daily work activities have been anticipated for several years even though it is difficult for companies to estimate their market demand and future usage. To overcome these problems, various types of robots are to be developed and verified by demonstration tasks using standard software. If many developers use the standard software to develop robots, the possibility to find a killer application of the robots will be increased and the service robot market will be widespread. Thus, we developed a prototype of a robot photographer using Robotics Technology Middleware to activate the community. The robot was developed quickly and easily. However, the success rate for capturing pictures was low in various environments. Therefore, we analyzed the cause of failures and proposed a correction algorithm. To improve the robot performance, we developed a multiple human detection system with recovery motion.
机译:尽管公司很难估计其市场需求和未来使用情况,但是用于日常工作活动的服务机器人已经被预计了好几年。为了克服这些问题,将使用标准软件通过演示任务来开发和验证各种类型的机器人。如果许多开发人员使用标准软件来开发机器人,则会增加找到机器人杀手级应用程序的可能性,并且服务机器人市场将会广泛。因此,我们使用Robotics Technology Middleware开发了一个机器人摄影师的原型,以激活社区。该机器人开发迅速而轻松。但是,在各种环境下,捕获图片的成功率都很低。因此,我们分析了故障原因并提出了一种校正算法。为了提高机器人的性能,我们开发了具有恢复运动的多人检测系统。

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