行星机器人采样智能系统架构

S. Lee, B. Hoffman, E. Baumgartner, P. Schenker
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引用次数: 2

摘要

提出了一种智能机器人系统的体系结构,这里称为GOBS:面向目标的行为综合。PAN实时连接感知和行动,通过任务监控和重新规划,自动合成不确定性、错误和故障下的目标导向行为。GOBS对于非结构化环境中的自主机器人任务非常重要,包括行星机器人采样,这需要在传感和驱动的不确定性和错误以及环境约束下具有鲁棒性和容错行为。展示了GOBS在行星机器人科学中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GOBS: an intelligent system architecture for planetary robotic sampling
An architecture of intelligent robotic systems, referred to here as GOBS: goal-oriented behavioral synthesis, is presented. Connecting sensing and action in real-time, PAN automatically synthesizes goal oriented behaviors under uncertainties, errors, and faults, through task monitoring and replanning. GOBS is significant for autonomous robotic tasks in unstructured environments, including planetary robotic sampling, which require robust and fault tolerant behaviors under uncertainties and errors in sensing and actuation as well as in environmental constraints. The application of GOBS to planetary robotic science is shown.
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