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Causal Reasoning for Planning and Coordination of Multiple Housekeeping Robots

机译:多种管家机器人规划与协调的因果推理

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We consider a housekeeping domain with multiple cleaning robots and represent it in the action language C+. With such a formalization of the do main, a plan can be computed using the causal reasoner CCALC for each robot to tidy some part of the house. However, to find a plan that characterizes a feasi ble trajectory that does not collide with obstacles, we need to consider geometric reasoning as well. For that, we embed motion planning in the domain description using external predicates. For safe execution of feasible plans, we introduce a planning and monitoring algorithm so that the robots can recover from plan exe cution failures due to heavy objects that cannot be lifted alone. The coordination of robots to help each other is considered for such a recovery. We illustrate the applicability of this algorithm with a simulation of a housekeeping domain.
机译:我们考虑一个带有多个清洁机器人的管家域,并以动作语言C +代表它。随着DO MAIN的这种形式化,可以使用每个机器人的因果推理员CCALC来计算计划,以整理房屋的某些部分。然而,要找到一个表征FASI BLE轨迹的计划,这些轨迹不会与障碍碰撞,我们也需要考虑几何推理。为此,我们使用外部谓词嵌入域描述中的运动规划。为了安全执行可行的计划,我们介绍了一个规划和监测算法,以便机器人可以从计划exe追求失败中恢复,因为不能单独解除的重物。为这种恢复考虑了机器人的协调互相帮助。我们说明了该算法的适用性与仿真的管家域。

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