| Both sides previous revisionPrevious revisionNext revision | Previous revisionLast revisionBoth sides next revision |
| robocupbrew20 [2019/11/03 14:40] – [Relevant publications (2015 - 2019)] danielb | robocupbrew20 [2019/11/04 11:47] – [Link to software repositories] danielb |
|---|
| Simon Stelter, Georg Bartels, and Michael Beetz. [[https://ai.uni-bremen.de/papers/stelter2018shapelets.pdf|Multidimensional Time Series Shapelets Reliably Detect and Classify Contact Events in Force Measurements of Wiping Actions]]. In Robotics and Automation Letters, IEEE, 2018. | Simon Stelter, Georg Bartels, and Michael Beetz. [[https://ai.uni-bremen.de/papers/stelter2018shapelets.pdf|Multidimensional Time Series Shapelets Reliably Detect and Classify Contact Events in Force Measurements of Wiping Actions]]. In Robotics and Automation Letters, IEEE, 2018. |
| |
| M. R. Loghmani, M. Planamente, B. Caputo, and M. Vincze. Recurrent convolutional fusion for rgb-d object recognition. IEEE RA-L, 4(3):2878–2885, 2019. | Mohammad Reza Loghmani, Mirco Planamente, Barbara Caputo, and Markus Vincze. [[https://arxiv.org/pdf/1806.01673.pdf|Recurrent convolutional fusion for rgb-d object recognition]]. IEEE RA-L, 4(3):2878–2885, 2019. |
| |
| Sergey Alexandrov, Timothy Patten, and Markus Vincze. [[https://www.researchgate.net/profile/Timothy_Patten2/publication/336232614_Leveraging_Symmetries_to_improve_Object_Detection_and_Pose_Estimation_from_Range_Data/links/5d95cfc3a6fdccfd0e725219/Leveraging-Symmetries-to-improve-Object-Detection-and-Pose-Estimation-from-Range-Data.pdf|Leveraging symmetries to improve object detection and pose estimation from range data]]. In Proc. of ICVS, 2019. | Sergey Alexandrov, Timothy Patten, and Markus Vincze. [[https://www.researchgate.net/profile/Timothy_Patten2/publication/336232614_Leveraging_Symmetries_to_improve_Object_Detection_and_Pose_Estimation_from_Range_Data/links/5d95cfc3a6fdccfd0e725219/Leveraging-Symmetries-to-improve-Object-Detection-and-Pose-Estimation-from-Range-Data.pdf|Leveraging symmetries to improve object detection and pose estimation from range data]]. In Proc. of ICVS, 2019. |
| <li>GISKARD: <a href="https://github.com/SemRoCo/giskardpy">webpage</a> , <a href="https://github.com/airballking/giskard">code repository</a></li> | <li>GISKARD: <a href="https://github.com/SemRoCo/giskardpy">webpage</a> , <a href="https://github.com/airballking/giskard">code repository</a></li> |
| <li>Pix2Pose: <a href="https://github.com/kirumang/Pix2Pose">code repository</a></li> | <li>Pix2Pose: <a href="https://github.com/kirumang/Pix2Pose">code repository</a></li> |
| | <li>V4R: <a href="https://rgit.acin.tuwien.ac.at/v4r/v4r">code repository</a></li> |
| </ul> | </ul> |
| </div> | </div> |
| </html> | </html> |
