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Manipulation of Articulated Objects Using Dual-arm Robots via Answer Set Programming

机译:通过答案集编程使用双臂机器人操纵铰接物体

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The manipulation of articulated objects is of primary importance in Robotics and can be considered as one of the most complex manipulation tasks. Traditionally, this problem has been tackled by developing ad hoc approaches, which lack flexibility and portability. In this paper, we present a framework based on answer set programming (ASP) for the automated manipulation of articulated objects in a robot control architecture. In particular, ASP is employed for representing the configuration of the articulated object for checking the consistency of such representation in the knowledge base and for generating the sequence of manipulation actions. The framework is exemplified and validated on the Baxter dual-arm manipulator in the first, simple scenario. Then, we extend such scenario to improve the overall setup accuracy and to introduce a few constraints in robot actions execution to enforce their feasibility. The extended scenario entails a high number of possible actions that can be fruitfully combined together. Therefore, we exploit macro actions from automated planning in order to provide more effective plans. We validate the overall framework in the extended scenario, thereby confirming the applicability of ASP also in more realistic Robotics settings and showing the usefulness of macro actions for the robot-based manipulation of articulated objects.
机译:铰接对象的操纵在机器人中具有主要重要性,并且可以被视为最复杂的操作任务之一。传统上,通过开发临时方法来解决这个问题,这缺乏灵活性和可移植性。在本文中,我们介绍了一个基于答案设置编程(ASP)的框架,用于在机器人控制架构中自动控制铰接对象。特别地,使用ASP用于表示铰接对象的配置,用于检查知识库中的这种表示的一致性并用于生成操作序列。在第一个简单的场景中,框架在Baxter双臂机械手上举例说明并验证。然后,我们扩展了这种情况以提高整体设置准确性,并在机器人操作执行中引入一些约束,以强制执行其可行性。扩展方案需要大量可能效果组合在一起的可能动作。因此,我们从自动化规划中利用宏动作,以提供更有效的计划。我们在扩展方案中验证整体框架,从而确认了ASP的适用性也在更现实的机器人学设置中,并显示了基于机器人的操纵对象的机器人操纵的宏动作的有用性。

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