摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据NewsRx记者在日本东京的新闻报道，Re Search说，"在这项研究中，我们提出了一个模块化机器人的模型，其中自发的分散模块自适应地组织他们的行为。"本研究的资助者包括索尼半导体解决方案公司的SUP项目；Jsps Kakenhi。我们的新闻记者从东京理工学院的研究中获得了一句话：“Volvoci Ne藻类的一种Gonium estorale的趋光性被建模为模块化系统，”提出了一种基于群体旋转相位的容错模块趋光性控制方法，该方法自适应调整内部响应相关参数以提高系统的容错能力，仿真结果表明，与常数参数方法相比，模块失效时正、负趋光性的趋光性时间均有明显提高。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting from Tokyo, Japan, by NewsRx journalists, re search stated, “In this study, we proposed a model for modular robots in which a utonomous decentralized modules adaptively organize their behavior.” Funders for this research include Ssup Program of The Sony Semiconductor Solutio ns Corporation; Jsps Kakenhi. Our news correspondents obtained a quote from the research from Tokyo Institute of Technology: “The phototaxis of * * Gonium pectorale* * , a species of volvoci ne algae, was modeled as a modular system, and a fault-tolerant modular control method of phototaxis was proposed for it. The proposed method was based on the r otation phase of the colony and adaptively adjusted an internal response-related parameter to enhance the fault tolerance of the system. Compared to a constant parameter approach, the simulation results demonstrated a significant improvemen t in the phototaxis time for positive and negative phototaxis during module fail ures.”
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