2,431 to 2,440 of 2,450 Results
MATLAB Data - 2.6 MB -
MD5: d41d537a9a30d0b284c2915b46a10be2
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MATLAB Data - 2.6 MB -
MD5: 2af01a1e24ac3d96f7cda3605cf28f19
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MATLAB Data - 1.9 MB -
MD5: 4bba42a68620bc46d97554f1f550e0e8
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MATLAB Data - 1.9 MB -
MD5: a02295921427965c6dacae7eed206aba
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MATLAB Data - 12.5 MB -
MD5: 00ddbdf342e2f5b18c2f1c2c084a5ee0
Validation measurement with LDD compensation (lookup table) activated. pos 0 m to 0.72 m |
MATLAB Data - 12.5 MB -
MD5: b3eb8d74a58bb1a91f09c687ce05ad28
Validation measurement with LDD compensation (lookup table) activated. pos 0.72 m to 0 m |
Sep 14, 2021 - isw_kar_ puplication
Kaiser, Benjamin, 2021, "Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks", https://doi.org/10.18419/DARUS-2126, DaRUS, V1, UNF:6:wNKYRgrs4Qt6BOHEvqTtyQ== [fileUNF]
This dataset contains curvature-optimal geometry parameters for linear-linear transitions for polynomial smoothing with polynomial splines 4th order. The data was generated by offline solving the optimization problem of curvature-optimal geometry parameters for corner smoothing, which is described in the related publication. Dataset_linlin.tab cont... |
Sep 14, 2021 -
Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
Tabular Data - 175.3 KB - 8 Variables, 3167 Observations - UNF:6:BBlGUuU5jyWJnJOd20wJ2g==
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Sep 14, 2021 -
Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
Tabular Data - 180.6 KB - 8 Variables, 3272 Observations - UNF:6:3k268QRlt6+V7Ncn2DGJxQ==
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Sep 14, 2021 -
Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
Tabular Data - 173.2 KB - 8 Variables, 2997 Observations - UNF:6:YrQA6fMykIIU96dK6h1Zuw==
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