A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment
文献类型：期刊论文
| 作者 | Li YC(李永程) ; Sun, Rong; Wang YC(王越超); Li HY(李洪谊); Zheng XF(郑雄飞)
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| 刊名 | PLOS ONE
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| 出版日期 | 2016 |
| 卷号 | 11期号:11页码:1-21 |
| ISSN号 | 1932-6203 |
| 产权排序 | 1 |
| 通讯作者 | 郑雄飞 |
| 中文摘要 | We propose the architecture of a novel robot system merging biological and artificial intelligence based on a neural controller connected to an external agent. We initially built a framework that connected the dissociated neural network to a mobile robot system to implement a realistic vehicle. The mobile robot system characterized by a camera and two-wheeled robot was designed to execute the target-searching task. We modified a software architecture and developed a home-made stimulation generator to build a bi-directional connection between the biological and the artificial components via simple binomial coding/decoding schemes. In this paper, we utilized a specific hierarchical dissociated neural network for the first time as the neural controller. Based on our work, neural cultures were successfully employed to control an artificial agent resulting in high performance. Surprisingly, under the tetanus stimulus training, the robot performed better and better with the increasement of training cycle because of the short-term plasticity of neural network (a kind of reinforced learning). Comparing to the work previously reported, we adopted an effective experimental proposal (i.e. increasing the training cycle) to make sure of the occurrence of the short-term plasticity, and preliminarily demonstrated that the improvement of the robot's performance could be caused independently by the plasticity development of dissociated neural network. This new framework may provide some possible solutions for the learning abilities of intelligent robots by the engineering application of the plasticity processing of neural networks, also for the development of theoretical inspiration for the next generation neuro-prostheses on the basis of the bi-directional exchange of information within the hierarchical neural networks. |
| WOS标题词 | Science & Technology |
| 类目[WOS] | Multidisciplinary Sciences |
| 研究领域[WOS] | Science & Technology - Other Topics |
| 关键词[WOS] | BRAIN-COMPUTER INTERFACE ; LONG-TERM POTENTIATION ; NEURONAL NETWORKS ; CORTICAL-NEURONS ; SKELETAL-MUSCLE ; STIMULATION ; DEVICES ; FABRICATION ; PLASTICITY ; ACTUATORS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000386715500041 |
| 源URL | [http://ir.sia.cn/handle/173321/19479]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Li YC,Sun, Rong,Wang YC,et al. A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment[J]. PLOS ONE,2016,11(11):1-21. |
| APA | Li YC,Sun, Rong,Wang YC,Li HY,&Zheng XF.(2016).A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment.PLOS ONE,11(11),1-21. |
| MLA | Li YC,et al."A Novel Robot System Integrating Biological and Mechanical Intelligence Based on Dissociated Neural Network-Controlled Closed-Loop Environment".PLOS ONE 11.11(2016):1-21. |
入库方式： OAI收割
来源：沈阳自动化研究所
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