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نمایش تعداد 1-6 از 6

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

نوع: Conference Paper

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

ناشر: IEEE

سال: 2014

[Publisher's information]

نوع: Conference Paper

ناشر: IEEE

سال: 2014

Learning from demonstrations with partially observable task parameters

نوع: Conference Paper

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

ناشر: IEEE

سال: 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

نوع: Journal Paper

نویسنده : 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.

ناشر: IEEE

سال: 2014

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

نوع: Conference Paper

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

ناشر: IEEE

سال: 2014

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

نوع: Conference Paper

نویسنده : Kato, Hiroshi

ناشر: IEEE

سال: 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