Using Model-Based Diagnosis to Build Hypotheses about Spatial Environments: A Response to a Technical Challenge
Using Model-Based Diagnosis to Build Hypotheses about Spatial Environments: A Response to a Technical Challenge
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使用基于模型的诊断来建立有关空间环境的假设：对技术挑战的回应
DOI：
10.1007/978-3-540-25940-4_47
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发表时间：
2003
期刊：
影响因子：
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通讯作者：
Oliver Obst
中科院分区：
文献类型：
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作者：
Oliver Obst
提出了一种基于多智能体机器人团队运动环境条件的假设方法。最初，机器人有一个默认的假设，关于地板的条件和如何在这些条件下移动工作。然而，对于环境的某些部分，默认假设可能是错误的，并且移动不会以预期的方式工作。现在，机器人团队以一种类似于计算电路诊断的方式，对尚未被访问的环境部分的情况建立了一个假设。避开可能包含障碍物的区域可以节省资源。
We present a method to build a hypothesis on the condition of the environment in which a robotic multi-agent team moves. Initially the robots have a default assumption about the conditions of the floor and on how moving under these condition works. For certain parts of the environment however, the default assumption may be wrong and moving around does not work in the expected way. Now the robotic team builds a hypothesis on the conditions of the yet unvisited part of the environment in a way similar to computing a diagnosis for electrical circuits. Resources can be saved by avoiding areas that possibly also contain obstacles.