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1 Ergebnisse
1
Some Possible Trajectory Planning Methodologies for an Arti..:
, In:
2019 IEEE Symposium Series on Computational Intelligence (SSCI)
,
Fu, Yong
;
Huang, Lan
;
Li, Sujie
. - p. 886-892 , 2019
Link:
https://doi.org/10.1109/SSCI44817.2019.9002991
RT T1 <cTitle>2019 IEEE Symposium Series on Computational Intelligence (SSCI)</cTitle>: T1 <Title>Some Possible Trajectory Planning Methodologies for an Articulated Deep Soil Mixing Equipment with Limited Degrees-of-Freedom</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9002991&Exemplar=1&LAN=DE A1 Fu, Yong A1 Huang, Lan A1 Li, Sujie A1 Lee, Fook Hou YR 2019 K1 Soil K1 Trajectory K1 Shafts K1 Mathematical model K1 Python K1 Programming K1 Hardware K1 trajectory mapping K1 deep soil mixing K1 excel VBA solver K1 normal programming K1 reinforcement learning SP 886 OP 892 LK http://dx.doi.org/https://doi.org/10.1109/SSCI44817.2019.9002991 DO https://doi.org/10.1109/SSCI44817.2019.9002991 SF ELIB - SuUB Bremen
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