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Motor-Cortex-Like Recurrent Neural Network and Multi-Tasks Learning for the Control of Musculoskeletal Systems 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 暂无, 期号: 暂无, 页码: 暂无
作者:  Jiahao Chen;  Hong Qiao
Adobe PDF(1958Kb)  |  收藏  |  浏览/下载：195/54  |  提交时间：2021/06/01
Biologically inspired  Musculoskeletal system  Neuromuscular control,  Motor cortex  Muscle synergy  Recurrent neural network  
Conducting Natural Language Inference with Word-Pair-Dependency and Local Context 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2020, 卷号: 19, 期号: 3, 页码: 23
作者:  Du, Qianlong;  Zong, Chengqing;  Su, Keh-Yih
浏览  |  Adobe PDF(1838Kb)  |  收藏  |  浏览/下载：240/68  |  提交时间：2021/01/06
Natural language inference  textual entailment  syntactic relation  local context  relation triplet  word-pair dependency  
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 5, 页码: 1289-1307
作者:  Wang, Wenshuo;  Na, Xiaoxiang;  Cao, Dongpu;  Gong, Jianwei;  Xi, Junqiang;  Xing, Yang;  Wang, Fei-Yue
浏览  |  Adobe PDF(14998Kb)  |  收藏  |  浏览/下载：249/29  |  提交时间：2020/09/07
Automated vehicle  decision-making  human driver  human-vehicle interaction  shared control  
Parallel control for continuous-time linear systems: A case study 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 919-928
作者:  Wei, Qinglai;  Li, Hongyang;  Wang, Fei-Yue
Adobe PDF(4146Kb)  |  收藏  |  浏览/下载：277/34  |  提交时间：2020/08/03
Continuous-time linear systems  digital twin  parallel controller  parallel intelligence  parallel systems  
Computational modeling of Emotion-motivated Decisions for Continuous Control of Mobile Robots 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2020, 卷号: 13, 期号: 2020, 页码: 1-14
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(5970Kb)  |  收藏  |  浏览/下载：270/93  |  提交时间：2020/06/09
Brain-inspired Computing  Emotion-motivated Learning  Emotion-memory Interactions  Decision-making  Reinforcement Learning