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Task Representation in Robots for Robust Coupling of Perception to Action in Dynamic Scenes

机译:机器人中的任务表示,用于动态场景中的动作感知的强大耦合

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The robotic perception is undergoing a transformation from navigation of service robots in static indoor environments to operation in large scale dynamic environments. This process is rapidly evolving due to the availability of cheap and robust sensors and computing units and because of the current focus on navigation tasks in automotive and flying applications. It is very tempting to make this transition using tools from the well established service robotics domain and apply them to the outdoor applications. While this process allows a fast deployment of systems in the new domain, multiple new problems are created. The advantage of being able to rely on well-understood and -tested software seem to outweigh the problems, which are created through this migration.
机译:机器人感知正在从静态室内环境中的服务机器人导航到大规模动态环境中的操作转变。由于廉价且强大的传感器和计算单元的可用性,此过程正在快速发展,并且由于目前专注于汽车和飞行应用中的导航任务。使用来自建立的服务机器人域的工具进行此转换非常诱人,并将其应用于户外应用程序。虽然此过程允许在新域中快速部署系统,但是创建了多个新问题。能够依赖于良好理解的软件的优势似乎超过了通过这种迁移创建的问题。

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