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首页> 外文会议>IEEE 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：将生物智能合并到机械系统中的测试模型

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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：神经元网络被认为是生物体中智力的起源。在本文中，创建了一种新的杂交神经毒素系统，使生物智能合并到人工智能。它基于神经元控制器双向连接到实现旨在搜索物体的新型车辆的实际移动机器人。通过简单的二项式编码/解码方案，采用改进的软件架构和自制刺激发生器来支持生物学和人工部件之间的双向交流生物学和人造部分之间的信息。最终，解离的神经元网络可以成功地用于控制人工剂以找到物体。由于短期可塑性，机器人在一个实验中的试验时间越来越好，并且由于短期的可塑性而更好。提供了一个新的框架来调查生物人工双向界面，了解这些简化模型系统中的脑机相互作用的创新策略。

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