多能系统的集成编程

Oliver Kosak, Felix Bohn, Felix Keller, Hella Ponsar, W. Reif
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引用次数: 4

摘要

编排和控制一组机器人,即编程集成,是一项复杂的任务。决定和定义集成需要以何种顺序执行,通常需要深入的问题领域特定知识。此外,集成程序员需要在分布式算法的设计、实现和评估方面投入大量精力,以协调多机器人的执行。最常见的情况是,问题领域的专业知识和编程知识不会统一到同一个人身上。为了解决这个问题,我们提出了Maple,一种用于集成的多智能体编程语言。使用Maple为解决集成编程中的技术任务提供了通用的解决方案,从而简化了集成程序员的典型工作流程。Maple是一种基于分层任务网络形式化的图形集成编程语言,可以在线生成集成程序。Maple还使非技术领域的专家能够为特定的用例生成集成程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ensemble Programming for Multipotent Systems
The orchestration and controlling of groups of robots, i.e., programming ensembles, is a complicated task to do. Deciding and defining what the ensemble needs to do in which order often requires in-depth problem domain specific knowledge. Further, an ensemble programmer needs to put much effort into the design, implementation, and evaluation of distributed algorithms to coordinate multi-robot executions. Most commonly, expertise for the problem domain and programming knowledge is not united in the same person. To tackle this, we propose Maple, an approach for a Multi-Agent Programming Language for Ensembles. Using Maple simplifies an ensemble programmer's typical work-flow by providing generalized solutions for solving technical tasks in ensemble programming. Maple is a graphical ensemble programming language based on the formalism of hierarchical task networks that enables the online generation of ensemble programs. Maple also enables non-technical domain experts to generate ensemble programs for specific use-cases.
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