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Jul, 2022
在随机领域中使用抽象化进行可解释的机器人程序设计
Using Abstraction for Interpretable Robot Programs in Stochastic Domains
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Till Hofmann, Vaishak Belle
TL;DR
该研究提出了一种抽象方法，将高层次、非随机的机器人模型映射到低层次、随机的模型中，从而消除传感器噪声对机器人行为模型的影响，简化行为模型的可理解性。
Abstract
A
robot
's actions are inherently stochastic, as its sensors are noisy and its actions do not always have the intended effects. For this reason, the
agent language
Golog has been extended to models with degrees of
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