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Feb 10, 2020 - 2019 M2VIP Challenges in Soft Tissue Manipulation
Wnuk, Markus-Christian; Jaensch, Florian; Tomzik, David Adrian; Chen, Zixiao; Terfurth, Jonathan; Kandasamy, Sivakumar; Shahabi, Jalil; Garrett, Amy; Mahmoudinezhad, Masoumeh H.; Csiszar, Akos; Xu, Weiliang; Röhrle, Oliver; Verl, Alexander, 2020, "Supplemental Material for Case Study about Challenges in Soft Tissue Manipulation", https://doi.org/10.18419/darus-482, DaRUS, V1
Supplemental image and video material for the paper "Challenges in robotic soft tissue manipulation - Problem identification based on an interdisciplinary case study of a teleoperated drawing robot in practice" presented at the 2019 conference M2VIP. The presented results are the... |
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”. |
JPEG Image - 153.9 KB -
MD5: 9ba47d2488f1ba6050de74139c5bed3e
Overview of the setup during teleoperated drawing. |
PNG Image - 65.1 KB -
MD5: b1f34f7a2315861aba4c04ecc09920df
Schematic depiction of the setup of the practical case study. |
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". |
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,... |
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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Sep 14, 2021 -
Replication data for: Planning of Curvature-Optimal Smooth Paths for Industrial Robots Using Neural Networks
Tabular Data - 17.6 MB - 16 Variables, 100000 Observations - UNF:6:DDP2D+VUmiEPhglt9myUFw==
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