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检索条件"机构=Mechanical Design and Control Systems Section Mechanical Engineering Department"
244 条 记 录,以下是181-190 订阅
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Furniture polishing robot using a trajectory generator based on cutter location data
Furniture polishing robot using a trajectory generator based...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: F. Nagata K. Watanabe K. Izumi Fukuoka Industrial Technology Center Interior Design Research Institute Fukuoka Japan Interior Design Research Institute Fukuoka Industrial Technology Center Fukuoka JAPAN Department of Advanced Systems Control Engineering Graduate School of Science and Engineering Department of Mechanical Engineering Saga University Saga JAPAN
A furniture polishing robot which uses a trajectory generator based on cutter location data, is proposed. The position and orientation of the polishing tool is suitably controlled by referring to the output from the t... 详细信息
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TOOTH SURFACE FATIGUE STRENGTH OF NORMALIZED STEEL CONICAL INVOLUTE GEARS
TOOTH SURFACE FATIGUE STRENGTH OF NORMALIZED STEEL CONICAL I...
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ASME 2000 International design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2000
作者: Ohmachi, Tatsuya Lizuka, Koji Komatsubara, Hidenori Mitome, Ken-Ichi Department of Mechanical Systems Engineering Yamagata University Jonan 4-3-16 Yonezawa992-8510 Japan Design Section Kamo Plant Niigata Converter Co. Ltd. Gejoh 405 Kamo Niigata959-1391 Japan
The tooth surface fatigue strength of the conical involute gear is evaluated in this paper. Test gears are straight intersecting-axis conical gears. The material of the test gear is normalized steel. The power circula... 详细信息
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Application of N-step-ahead Neurocontrol on articulated manipulators
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Journal of Field Robotics 2000年 第3期17卷
作者: A. Hountras I. Antoniadis A. Kanarachos Machine Design and Control System Section Department of Mechanical Engineering National Technical University of Athens P.O. Box 64078 Athens 15710 Greece
The N -step-ahead control method, called chain-back-propagation, is applied to articulated manipulators. The method is based on a pair of neural networks—the neural controller and the neural emulator—and focuses mai...
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Analysis of deformable object handling
Analysis of deformable object handling
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IEEE International Conference on Robotics and Automation (ICRA)
作者: H.G. Tanner K.J. Kyriakopoulos Control Systems Laboratory Division of Machine Design and Control Department of Mechanical Engineering National and Technical University of Athens Greece
A manipulated deformable object is viewed as an underactuated mechanical system. In this context controllability issues are discussed and results on the nature of the constraints and the controllability properties of ... 详细信息
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An experiment on profiling task with impedance controlled manipulator using cutter location data
An experiment on profiling task with impedance controlled ma...
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IEEE International Conference on systems, Man and Cybernetics
作者: F. Nagata K. Watanabe K. Izumi Fukuoka Industrial Technology Center Interior Design Research Institute Fukuoka Japan Department of Advanced Systems Control Engineering Japan Department of Mechanical Engineering Saga University Saga Japan
We describe how to easily apply an impedance controlled robot to a profiling task along a curved object and to improve the performance using a position compensator based on the cutter location (CL) data. The CL data g... 详细信息
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Position-based impedance control using a fuzzy compensator
Position-based impedance control using a fuzzy compensator
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International Conference on Knowledge-Based Intelligent Information engineering systems (KES)
作者: F. Nagata K. Watanabe K. Izumi Fukuoka Industrial Technology Center Interior Design Research Institute Fukuoka Japan Department of Advanced Systems Control Engineering Graduate School of Science and Engineering Japan Department of Mechanical Engineering Faculty of Science and Engineering Saga University Honjomachi Saga Japan
A position based impedance control with a fuzzy compensator is proposed to improve a force control performance, in which the environment has unknown dynamics or curved surface. The main attraction of the fuzzy compens... 详细信息
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Impedance control Using Anisotropic Fuzzy Environment Models
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Journal of Robotics and Mechatronics 1999年 第1期11卷 60-66页
作者: Nagata, Fusaomi Watanabe, Keigo Sato, Kazuya Izumi, Kiyotaka Interior Design Research Institute Fukuoka Industrial Technology Center Agemaki-405-3 Fukuoka831-0031 Japan Department of Advanced Systems Control Engineering Saga University Saga840-8502 Japan Department of Mechanical Engineering Saga University Saga840 Japan
We describe impedance control for force control in unknown environments, proposing anisotropic fuzzy environment models that estimate environmental stiffness using fuzzy reasoning and generate time-varying damping for... 详细信息
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Generalized fuzzy environment models learned with genetic algorithms for a robotic force control
Generalized fuzzy environment models learned with genetic al...
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IEEE International Workshop on Intelligent Robots and systems (IROS)
作者: F. Nagata K. Watanabe K. Sato K. Izumi Fukuoka Industrial Technology Center Interior Design Research Institute Fukuoka Japan Graduate School of Science and Engineering Department of Advanced Systems Control Engineering Saga University Saga Japan Graduate School of Science and Engineering Department of Advanced Systems Control Engineering Saga University Honjomachi Saga Japan Department of Mechanical Engineering Faculty of Science and Engineering Saga University Honjomachi Saga Japan
Impedance control allows the manipulator to change the mechanical impedance such as inertia, damping and stiffness, acting between the end-effector and its environment. However, to achieve stable force control under u... 详细信息
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Force control for flexible robots using neural networks
Force control for flexible robots using neural networks
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American control Conference (ACC)
作者: J. Borowiec A. Tzes Network Wireless Systems Product Design & Realization Lucent Technologies Inc. Whippany NJ USA Control/Robotics Research Laboratory Mechanical Engineering Department Six Metrotech Center Polytechnic University Brooklyn NY USA
Force control for flexible link robots using neural networks is considered. The nonlinear dynamics of the robot manipulator are identified through a recurrent neural network (RNN), which is trained in an off-line mann... 详细信息
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Semi-Stochastic Complex Neural Networks
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IFAC Proceedings Volumes 1998年 第12期31卷 47-52页
作者: Andreas E. Kanarachos Kleanthis T. Geramanis National Technical University of Athens Department of Mechanical Engineering Mechanical Design & Control Systems Division Polytechnic Campus Zografou P.O.Box 64078 15710 Greece
In this paper a new "semi-stochastic" methodology for the detennination of the weights of a neural network is proposed. The method is based on stochastic extension of the detenninistic Complex parameter opti... 详细信息
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