John T. Wen is affiliated with Rensselaer Polytechnic Institute in the United States and has a research focus primarily in the field of Engineering. Their work spans several subfields including Mechanical Engineering, Control and Systems Engineering, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, and Biomedical Engineering.
The scientist's research topics have concentrated on areas such as:
John T. Wen has published extensively, with frequent contributions to publication venues including:
Their recent papers include:
Collaborations with other researchers have been a significant aspect of their work. Frequent coauthors include:
John T. Wen has been recognized as an IEEE Fellow since 2001 for contributions to the control of nonlinear electro-mechanical systems and robotic manipulation.
J.T.-Y. Wen;K. Kreutz-Delgado
Randal W. Beard;George N. Saridis;John T. Wen
J.T. Wen;M. Arcak
F. Lizarralde;J.T. Wen
Declan Hughes;John T Wen
S.M. Joshi;A.G. Kelkar;J.T.-Y. Wen
J.T. Wen
Christopher J. Bernard;Hyosig Kang;Barton L. Sachs;Sunil K. Singh
He Bai;Murat Arcak;John T. Wen
A.W. Divelbiss;J.T. Wen
John T. Wen;David S. Bayard
R. W. Beard;G. N. Saridis;J. T. Wen
Jianqiang Yi;Qian Wang;Dongbin Zhao;John T. Wen
John T. Wen;Kenneth Kreutz-Delgado
Byoung Hun Kang;J.T.-Y. Wen;N.G. Dagalakis;J.J. Gorman
A.W. Divelbiss;J.T. Wen
He Bai;Murat Arcak;John T. Wen
Tansu Alpcan;Xingzhe Fan;Tamer Basar;Murat Arcak
J.T. Wen;S. Murphy
He Bai;J T Wen
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