分布式人工智能作为实现 Self-X 功能以增强韧性的手段：初步探索
Distributed Artificial Intelligence as a Means to Achieve Self-X-Functions for Increasing Resilience: the First Steps
AI总结：
本文探讨将分布式人工智能与仿生机器人结合以实现 Self-X 功能、增强系统韧性，并介绍分布式控制的初步研究。
摘要：
利用传感器实现自我意识，并借助人工智能进行决策，可能是使复杂系统具备自适应、自主和韧性的一种途径。研究分布式人工智能方法与仿生机器人的结合，可为实现此类机器人及其他复杂系统的自主性提供有益成果。本文描述了分布式人工智能的应用领域、连续体机器人最常见的示例，并介绍了我们在实现分布式控制方面迈出的第一步。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
