3.8 Proceedings Paper

Distributed Artificial Intelligence as a Means to Achieve Self-X-Functions for Increasing Resilience: the First Steps

出版社

IEEE
DOI: 10.1109/MECO55406.2022.9797193

关键词

distributed control; continuum robots; Distributed Artificial Intelligence (DAI); resilience

向作者/读者索取更多资源

This paper discusses the use of sensors and Artificial Intelligence to achieve self-adaptive, autonomous and resilient systems. Investigating the combination of Distributed Artificial Intelligence methods and bio-inspired robotics can provide helpful results for implementing autonomy.
Using sensors as a means to achieve self-awareness and Artificial Intelligence for decision-making, may be a way to make complex systems self-adaptive, autonomous and resilient. Investigating the combination of Distributed Artificial Intelligence methods and bio-inspired robotics can provide results that will be helpful for implementing autonomy of such robots and other complex systems. In this paper, we describe Distributed Artificial Intelligence application area, the most common examples of continuum robots and provide a description of our first steps towards implementing distributed control.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据