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An End-to-End System for Accomplishing Tasks with Modular Robots: Perspectives for the AI Community

机译:用于使用模块化机器人完成任务的端到端系统:AI社区的透视

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The advantage of modular robot systems lies in their flexibility, but this advantage can only be realized if there exists some reliable, effective way of generating configurations (shapes) and behaviors (controlling programs) appropriate for a given task. In this paper, we present an end-to-end system for addressing tasks with modular robots, and demonstrate that it is capable of accomplishing challenging multi-part tasks in hardware experiments. The system consists of four tightly integrated components: (1) A high-level mission planner, (2) A design library spanning a wide set of functionality, (3) A design and simulation tool for populating the library with new configurations and behaviors, and (4) Modular robot hardware. This paper condenses the material originally presented in [Jing et al., 2016] into a shorter format suitable for a broad audience.
机译:模块化机器人系统的优点在于它们的灵活性,但是如果存在适合于给定任务的配置(形状)和行为(控制程序)存在一些可靠,有效的方法,则才能实现这种优势。在本文中,我们提出了一种用于解决模块化机器人的任务的端到端系统,并证明它能够在硬件实验中实现具有挑战性的多部分任务。该系统由四个紧密集成的组件组成:(1)高级任务规划员,(2)一个跨越各种功能的设计库,(3)用于使用新配置和行为填充库的设计和仿真工具, (4)模块化机器人硬件。本文融入了最初在[jing等,2016]中呈现的材料,适合广泛的受众。

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