论文标题
机器人技术中的水库计算：评论
Reservoir Computing in robotics: a review
论文作者
论文摘要
储层计算是一个相对较新的框架，旨在允许使用功能强大但复杂的系统作为计算介质。基本方法仅在于培训读数层，从而利用了先前未经训练的系统提供的先天分离和转换。这种方法已显示具有出色的计算能力，并成功地用于完成许多任务。这篇评论旨在代表机器人领域中储层计算技术使用的当前“最新”。最初给出了框架及其实现的介绍性描述。随后，提出和讨论了有趣的应用，方法和解决方案的摘要。在解释中提出了考虑因素，思想和可能的未来发展。
Reservoir Computing is a relatively new framework created to allow the usage of powerful but complex systems as computational mediums. The basic approach consists in training only a readout layer, exploiting the innate separation and transformation provided by the previous, untrained system. This approach has shown to possess great computational capabilities and is successfully used to achieve many tasks. This review aims to represent the current 'state-of-the-art' of the usage of Reservoir Computing techniques in the robotic field. An introductory description of the framework and its implementations is initially given. Subsequently, a summary of interesting applications, approaches, and solutions is presented and discussed. Considerations, ideas and possible future developments are proposed in the explanation.
