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Dynamic analysis and optimization of soft robotic fish using fluid-structural coupling method

Type: Conference Paper

Author : Wenjing Zhao , Aiguo Ming , Shimojo, M.

Publisher: IEEE

Year: 2014

[Publisher's information]

Type: Conference Paper

Publisher: IEEE

Year: 2014

Learning from demonstrations with partially observable task parameters

Type: Conference Paper

Author : Alizadeh, T. , Calinon, S. , Caldwell, D.G.

Publisher: IEEE

Year: 2014

Demonstration of a Semi-Autonomous Hybrid Brain–Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic

Type: Journal Paper

Author : McMullen, David P.; Hotson, Guy; Katyal, Kapil D.; Wester, Brock /A/.; Fifer, Matthew S.; McGee, Timothy G.; Harris, Alan; Johannes, Matthew S.; Vogelstein, R. Jacob; Ravitz, Alan D.; Anderson, William S.; Thakor, Nitish V.; Crone, Nathan E.

Publisher: IEEE

Year: 2014

Entropy based noise clustering soft classification method for identification of wheat crop using time series MODIS data

Type: Conference Paper

Author : Upadhyay, P. , Ghosh, S.K. , Kumar, A.

Publisher: IEEE

Year: 2014

Future issues of the intellectual property system in Japan in consideration of a decade of pro-patent policy

Type: Conference Paper

Author : Kato, Hiroshi

Publisher: IEEE

Year: 2014

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Dynamic analysis and optimization of soft robotic fish using fluid-structural coupling method

[Publisher's information]

Learning from demonstrations with partially observable task parameters

Demonstration of a Semi-Autonomous Hybrid Brain–Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic

Entropy based noise clustering soft classification method for identification of wheat crop using time series MODIS data

Future issues of the intellectual property system in Japan in consideration of a decade of pro-patent policy

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Dynamic analysis and optimization of soft robotic fish using fluid-structural coupling method

[Publisher's information]

Learning from demonstrations with partially observable task parameters

Demonstration of a Semi-Autonomous Hybrid Brain&#x2013;Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic

Entropy based noise clustering soft classification method for identification of wheat crop using time series MODIS data

Future issues of the intellectual property system in Japan in consideration of a decade of pro-patent policy

Demonstration of a Semi-Autonomous Hybrid Brain–Machine Interface Using Human Intracranial EEG, Eye Tracking, and Computer Vision to Control a Robotic Upper Limb Prosthetic