首页> 外文会议>Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on >A geometric approach to task understanding and playback: compactand robust task description for complex environments
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A geometric approach to task understanding and playback: compactand robust task description for complex environments

机译:任务理解和回放的几何方法:紧凑复杂环境的强大而可靠的任务描述

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The ability to execute similar tasks in various environments isimportant for robot systems, but there are few approaches for doingthis. We recently proposed a “teaching by showing” systemthat recognizes teaching tasks and executes corresponding tasks indifferent environments. The teaching task is recognized from geometricalconstraint and translated into a general task description (GTD).However, this method is difficult to apply in complex environmentsbecause of redundancy an description and lack of generalization. Thispaper presents an algorithm for both two- and three-dimensionalenvironments that solves these problems. The improved GTD describestasks in complex environments very compactly. It ignores objects that donot affect the task, which adds a useful robustness to the system
机译:在各种环境中执行类似任务的能力是 对于机器人系统很重要,但是很少有方法可以做到 这。我们最近提出了“展示教学”系统 识别教学任务并执行相应的任务 不同的环境。教学任务是从几何学认识的 约束并转换为一般任务描述(GTD)。 但是,这种方法很难在复杂的环境中应用 由于存在冗余,因此说明繁琐,缺乏概括性。这 论文提出了二维和三维算法 解决这些问题的环境。改进的GTD描述 复杂环境中的任务非常紧凑。它忽略做的对象 不影响任务,从而为系统增加了有用的鲁棒性

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