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Guest Editorial: Latest Developments in Neuro-Fuzzy Intelligent Robotic Systems

机译：客座社论：神经模糊智能机器人系统的最新发展

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As robotic systems make their way into standard practice, they have opened the door to a wide spectrum of complex applications. Such applications usually demand that the robots be highly intelligent. Continued technical progress is vital to make robotic systems truly intelligent. As emerging technologies, neural networks and fuzzy logic systems are viewed as the most prominent methods toward intelligent robotic systems, thus have regained strong publication attention in the robotics community. The past few years have witnessed significant progress in this direction. The main purpose of this issue Neuro-Fuzzy Intelligent Robotic Systems is to sample a few works from the mainstream and provide readers with the most recent development in this technically important area. About 60% of invited articles was accepted for publication. All articles were carefully screened by the guest editors for technical quality and suitability to the special issue theme and were blind-foldedly reviewed by at least three reviewers.
机译：随着机器人系统进入标准实践，它们为各种复杂应用打开了大门。此类应用通常要求机器人具有高度的智能性。持续的技术进步对于使机器人系统真正智能化至关重要。作为新兴技术，神经网络和模糊逻辑系统被视为面向智能机器人系统的最主要方法，因此在机器人界受到了广泛的关注。过去几年在这一方向上取得了重大进展。本期《神经模糊智能机器人系统》的主要目的是从主流中抽取一些作品，并向读者提供该技术重要领域的最新进展。大约60％的受邀文章被接受发表。所有文章均由来宾编辑仔细筛选，以确保其技术质量和对特刊主题的适用性，并至少三位审稿人盲目地进行了审阅。

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