1 to 10 of 15 Results
Sep 14, 2021 -
Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
Tabular Data - 341.9 KB - 7 Variables, 2997 Observations - UNF:6:2JIQ5nv1X4RHGILyQF5Mwg==
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Sep 14, 2021 -
Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
Tabular Data - 373.2 KB - 7 Variables, 3272 Observations - UNF:6:LpJ2cJhZDfcE+CTFQ/avfA==
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Sep 14, 2021 -
Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
Tabular Data - 361.2 KB - 7 Variables, 3167 Observations - UNF:6:kGNUeLPy6hKjio5kVCaDXw==
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MPEG-4 Video - 306.9 MB -
MD5: f5a35c6350d6fb9f8f3bc72c1e32c394
Video of the setup used for the identification of challenges in soft tissue manipulation. The setup was built during the 2019 summer school at the University of Auckland (New Zealand) within the IRTG "Soft Tissue Robotics". |
PNG Image - 65.1 KB -
MD5: b1f34f7a2315861aba4c04ecc09920df
Schematic depiction of the setup of the practical case study. |
JPEG Image - 153.9 KB -
MD5: 9ba47d2488f1ba6050de74139c5bed3e
Overview of the setup during teleoperated drawing. |
Mar 28, 2024 -
Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures
Tabular Data - 371.0 KB - 2 Variables, 11118 Observations - UNF:6:RsitnBjb+P2d2XDNucKO+w==
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Mar 28, 2024 -
Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures
Tabular Data - 369.4 KB - 2 Variables, 11149 Observations - UNF:6:/JToM5g8YBfUUk0nN51FYQ==
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JPEG Image - 190.7 KB -
MD5: 8a3922852573e0733571d40380350cb6
Close-up view of the end effector of the case study’s setup during a drawing process of the letters “IRTG”. |
Sep 14, 2021 -
Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
Tabular Data - 14.7 MB - 16 Variables, 100000 Observations - UNF:6:xqTQ0GNSmewznqJdHQkpOg==
Data set with curvature optimized geometry parameters for linear-linear transitions for polynomial smoothing with 4th order polynomial splines. |