ROBOTICS

作品数:406被引量:1075H指数:15
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相关领域:自动化与计算机技术更多>>
相关作者:廖小平林义忠夏薇解本铭胡国清更多>>
相关机构:华南理工大学安徽工程大学广西大学南京农业大学更多>>
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相关基金:国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划中国航空科学基金更多>>
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An overview of various control benchmarks with a focus on automotive control被引量:1
《Control Theory and Technology》2019年第2期121-130,共10页Lars ERIKSSON 
There exists a gap between control theory and control practice,i.e.,all control methods suggested by researchers are not implemented in real systems and,on the other hand,many important in dustrial problems are not st...
关键词:BENCHMARK AUTOMOTIVE CONTROL robust CONTROL ROBOTICS engine CONTROL POWERTRAIN CONTROL system identification 
An execution control method for the Aerostack aerial robotics framework
《Frontiers of Information Technology & Electronic Engineering》2019年第1期60-75,共16页Martin MOLINA Alberto CAMPORREDONDO Hriday BAVLE AlejANDro RODRIGUEZ-RAMOS Pascual CAMPOY 
Project supported by the European Union’s Horizon 2020 Research and Innovation Program under the Project ROSIN(No.732287)
Execution control is a critical task of robot architectures which has a deep impact on the quality of the final system. In this study, we describe a general method for execution control, which is a part of the Aerosta...
关键词:AERIAL ROBOTICS CONTROL ARCHITECTURE Behavior-based CONTROL EXECUTIVE system 
Agent model for multi-UAV control via protocol designs被引量:1
《International Journal of Intelligent Computing and Cybernetics》2017年第4期412-429,共18页Sunan Huang Swee Huat Rodney Teo Wenqi Liu Siarhei Michailovich Dymkou 
Purpose–Cooperative control of a group of unmanned aerial vehicles(UAVs)is an important area of research.The purpose of this paper is to explore multi-UAV control in the framework of providing surveillance of areas o...
关键词:Intelligent control ROBOTICS Multi-agent systems Unmanned aerial vehicles 
Pattern Recognition of EEG Signals and Applications in Robotics
《Chinese Journal of Biomedical Engineering(English Edition)》2006年第4期159-170,共12页ZHANG Xiao-dong CHENG Zhi-qiang LI De-jun 
Supported by the NSFC-KOSEF Scientific Cooperation Program from the Korea Science and Engineering Foundation (Grant No. F01-2005-000-10069-0);the National Natural Science Foundation of China (Grant No. 50375115)
With the rapid development of brain computer interface (simply called BCI), electroencephalography (EEG) will be another interesting bio-electrical signal applied in robotics after EMG. In order to realize it finally,...
关键词:ELECTROENCEPHALOGRAPHY PATTERN RECOGNITION ROBOTICS CONTROL 
9th International Conference on Control, Automation, Robotics and Vision ICARCV 2006
《控制理论与应用(英文版)》2006年第1期102-102,共1页
9th International Conference on Control, Automation, Robotics and Vision ICARCV 2006
《控制理论与应用》2006年第1期157-157,共1页
关键词:VISION Robotics and Vision ICARCV 2006 Man AUTOMATION International Conference on Control 
9th International Conference on Control, Automation, Robotics and Vision ICARCV 2006
《控制理论与应用(英文版)》2005年第3期310-310,共1页
The 9th International Conference on Control, Automation, Robotics and Vision, ICARCV 2006, will be held in Singapore from 5 - 8 December 2006. The conference is organised by the School of Electrical and Electronic Eng...
9th International Conference on Control, Automation, Robotics and Vision
《控制理论与应用》2005年第6期1012-1012,共1页
Hybrid H_2/H_∞ force/position control based on neural networks
《Journal of Harbin Institute of Technology(New Series)》2004年第5期569-572,共4页温淑焕 蔡建羡 王洪瑞 
SponsoredbytheHebeiProvinceScienceTechnologyTacklingKeyProblemItem(GrantNo.A393) .
A neural network control scheme with mixed H2/H∞performance was proposed for robot force/position control under parameter uncertainties and external disturbances. The mixed H2/H∞tracking performance ensures both rob...
关键词:ROBOTICS force/position control mixed H_2/H_∞control neural networks 
Learning-based force servoing control of a robot with vision in an unknown environment被引量:2
《Journal of Systems Engineering and Electronics》2004年第2期171-178,共8页XiaoNanfeng 
This project was supported by the research foundation of China Education Ministry for the scholars from abroad (2002247).
A learning-based control approach is presented for force servoing of a robot with vision in an unknown environment. Firstly, mapping relationships between image features of the servoing object and the joint angles of ...
关键词:ROBOTICS force servoing vision control learning algorithm neural network. 
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