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首页> 外文会议>2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference >Neural-based control of a mobile robot: A test model for merging biological intelligence into mechanical system
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Neural-based control of a mobile robot: A test model for merging biological intelligence into mechanical system

机译：基于神经的移动机器人控制：将生物智能整合到机械系统中的测试模型

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摘要

The neuronal networks are considered as the origin of intelligence in organisms. In this paper, a new hybrid neurorobot system merging the biological intelligence to the artificial intelligence was created. It was based on a neuronal controller bi-directionally connected to an actual mobile robot implementing a novel vehicle which was aimed at searching objects. The modified software architecture and home-made stimulation generator were employed to support a bi-directional exchange of information between the biological and the artificial part by means of simple binomial coding/decoding schemes. Eventually, the dissociated neuronal network could be successfully employed to control an artificial agent to find the objects. And the robot performed better and better along with the times of trials in one experiment because of the short-term plasticity. A new framework was provided to investigate the biological-artificial bi-directional interfaces for the development of innovative strategies for brain-machine interaction in these simplified model systems.
机译：神经网络被认为是生物体智能的起源。在本文中，创建了一种将生物智能与人工智能相结合的新型混合神经机器人系统。它基于双向连接到实际移动机器人的神经元控制器，该机器人实现了旨在搜索物体的新型车辆。修改后的软件体系结构和自制刺激生成器被用来通过简单的二项式编码/解码方案来支持生物部分和人工部分之间的双向信息交换。最终，解离的神经元网络可以成功地用于控制人工代理以找到对象。由于短期可塑性，该机器人在一项实验中的性能随着试验时间的推移越来越好。提供了一个新的框架来研究生物-人工双向接口，以开发这些简化模型系统中脑机交互的创新策略。

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