Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
robocupbrew20 [2019/11/03 14:40] – [Relevant publications (2015 - 2019)] danielbrobocupbrew20 [2019/11/04 11:48] (current) – [Link to software repositories] danielb
Line 65: Line 65:
 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 MVincze. 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.
Line 84: Line 84:
   <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>
 +  <li>RCFusion: <a href="https://github.com/MRLoghmani/rcfusion">code repository</a></li>
  </ul>   </ul> 
 </div> </div>
 </html> </html>




Prof. Dr. hc. Michael Beetz PhD
Head of Institute

Contact via
Andrea Cowley
assistant to Prof. Beetz
ai-office@cs.uni-bremen.de

Discover our VRB for innovative and interactive research


Memberships and associations:


Social Media: