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On the Problem of Moving Objects With Autonomous Robots: A Unifying High-Level Planning Approach

机译:自主机器人的移动物体问题:统一的高级规划方法

摘要

Moving objects with autonomous robots is a wide topic that includes single-arm pick-and-place tasks, object regrasping, object passing between two or more arms in the air or using support surfaces such as tables and similar. Each task has been extensively studied and many planning solutions are already present in the literature. In this letter, we present a planning scheme which, based on the use of pre-defined elementary manipulation skills, aims to unify solutions which are usually obtained by means of different planning strategies rooted on hard-coded behaviors. Both robotic manipulators and environment fixed support surfaces are treated as end-effectors of movable and non-movable types, respectively. The task of the robot can thus be broken down into elementary building blocks, which are end-effector manipulation skills, that are then planned at the kinematic level. Feasibility is ensured by propagating unforeseen low-level failures at the higher level and by synthesizing different behaviors. The validity of the proposed solution is shown via experiments on a bimanual robot setup and in simulations involving a more complex setup similar to an assembly line.
机译:使用自主机器人移动物体是一个广泛的主题,包括单臂拾取和放置任务,物体重新抓取,物体在空中两个或多个臂之间传递或使用支撑表面(例如桌子等)。每个任务都经过了广泛的研究,许多计划解决方案已经在文献中提出。在这封信中,我们提出了一个计划方案,该方案基于使用预定义的基本操纵技能,旨在统一通常通过基于硬编码行为的不同计划策略获得的解决方案。机器人操纵器和固定在环境上的支撑表面分别被视为可移动和不可移动类型的末端执行器。因此,机器人的任务可以分解为基本的构建块,这些构建块是末端执行器的操纵技能,然后在运动学级别进行规划。通过在较高级别传播不可预见的低级别故障并综合各种行为,可以确保可行性。所提出的解决方案的有效性通过在双手机器人装置上进行的实验以及涉及类似于装配线的更复杂装置的仿真中得到了证明。

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