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A Bio-Inspired Framework for Joint Angle Estimation from No..:
, In:
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
,
Hagen, Daniel A.
;
Marjaninejad, Ali
;
Valero-Cuevas, Francisco J.
- p. 7778-7783 , 2020
Link:
https://doi.org/10.1109/IROS45743.2020.9341268
RT T1 <cTitle>2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)</cTitle>: T1 <Title>A Bio-Inspired Framework for Joint Angle Estimation from Non-Collocated Sensors in Tendon-driven Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9341268&Exemplar=1&LAN=DE A1 Hagen, Daniel A. A1 Marjaninejad, Ali A1 Valero-Cuevas, Francisco J. YR 2020 SN 2153-0866 K1 Training K1 Estimation K1 Artificial neural networks K1 Robot sensing systems K1 Sensor systems K1 Task analysis K1 Tendons SP 7778 OP 7783 LK http://dx.doi.org/https://doi.org/10.1109/IROS45743.2020.9341268 DO https://doi.org/10.1109/IROS45743.2020.9341268 SF ELIB - SuUB Bremen
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