分布式行为仲裁网络:一种仿人机器人自主控制体系结构

M. Shimizu, T. Furuta, K. Tomiyama
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引用次数: 3

摘要

本文提出了一种基于分布式行为仲裁网络的仿人机器人自主控制体系结构。在该架构中,基于基于行为的人工智能的概念对机器人的能力进行区分,这些区分能力在个体智能体中实现。在这里,使用所提出的架构在人形机器人上实现了“避免跌倒”和“目标搜索”行为,以证明其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed behavior arbitration network: an autonomous control architecture for humanoid robots
This paper proposs an autonomous control architecture for humanoid robots that is called Distributed Behavior Arbitration Network. In the proposed architecture, robot’s competence is differentiated based on the concept of behavior-based AI and these differentiated competencies are realized in individual agents. Here, ’fall avoidance’ and ’goal search’ behaviors are implemented on humanoid robots using proposed architecture to demonstrate its validity.
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