Automating Transfer of Robot Task Plans using Functorial Data Migrations

Angeline Aguinaldo, Evan Patterson, William Regli
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Abstract

This paper introduces a novel approach to ontology-based robot plan transfer using functorial data migrations from category theory. Functors provide structured maps between domain types and predicates which can be used to transfer plans from a source domain to a target domain without the need for replanning. Unlike methods that create models for transferring specific plans, our approach can be applied to any plan within a given domain. We demonstrate this approach by transferring a task plan from the canonical Blocksworld domain to one compatible with the AI2-THOR Kitchen environment. In addition, we discuss practical applications that may enhance the adaptability of robotic task planning in general.
使用函数式数据迁移自动传输机器人任务计划
本文介绍了一种基于本体的机器人计划转移新方法,该方法利用了范畴理论中的函数式数据迁移。函数提供了领域类型和谓词之间的结构化映射,可用于将计划从源领域转移到目标领域,而无需重新规划。与为转移特定计划而创建模型的方法不同,我们的方法可以应用于给定领域内的任何计划。我们通过将一个任务计划从典型的 Blocksworld 领域转移到与 AI2-THOR Kitchen 环境兼容的领域来演示这种方法。此外,我们还讨论了可增强机器人任务规划适应性的实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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