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Image-based robot task planning and control using a compact visual representation

机译:使用紧凑型视觉表示的基于图像的机器人任务计划和控制

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We present an approach for the design and control of both reflexive and purposive visual tasks. The approach is based on the bidimensional appearance of the objects in the environment and explicitly takes into account independent object motions. A linear model of camera-object interaction is embedded in the control scheme, which dramatically simplifies visual analysis and control by reducing the size of visual representation. We describe the implementation of three visual tasks of increasing complexity, obtained with the proposed scheme and based on the active contour analysis and polynomial planning of image contour transformations. Both simulations and real-time experiments with a robotic eye-in-hand configuration are discussed, validating the approach in terms of robustness and applicability to visual navigation, active exploration and perception, and human-robot interaction.
机译:我们提出了一种设计和控制反射性和目的性视觉任务的方法。该方法基于环境中对象的二维外观,并明确考虑独立的对象运动。控制方案中嵌入了摄像机与对象交互作用的线性模型,该模型通过减小视觉表示的尺寸大大简化了视觉分析和控制。我们描述了通过提出的方案并基于主动轮廓分析和图像轮廓变换的多项式规划获得的三个日益复杂的视觉任务的实现。讨论了具有机器人手控式配置的仿真和实时实验,从视觉导航,主动探索和感知以及人机交互的鲁棒性和适用性方面验证了该方法。

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