Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Rudolph Triebel

Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes


Mar 25, 2021
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel, Dieter Fox

* ICRA 2021. Video of the real world experiments and code are available at https://research.nvidia.com/publication/2021-03_Contact-GraspNet%3A--Efficient 

  Access Paper or Ask Questions

Unknown Object Segmentation from Stereo Images


Mar 11, 2021
Maximilian Durner, Wout Boerdijk, Martin Sundermeyer, Werner Friedl, Zoltan-Csaba Marton, Rudolph Triebel

* 8 pages, 5 figures, 6 tables, code will be made available 

  Access Paper or Ask Questions

Learning to Localize in New Environments from Synthetic Training Data


Nov 09, 2020
Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel

* 7 pages, 3 figures; Submitted to the International Conference on Robotics and Automation (ICRA) 2021 

  Access Paper or Ask Questions

"What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences


Nov 06, 2020
Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel

* 8 pages, 6 figures 

  Access Paper or Ask Questions

Bayesian Optimization Meets Laplace Approximation for Robotic Introspection


Oct 30, 2020
Matthias Humt, Jongseok Lee, Rudolph Triebel

* Accepted to the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020 Long-Term Autonomy Workshop 

  Access Paper or Ask Questions

DOT: Dynamic Object Tracking for Visual SLAM


Sep 30, 2020
Irene Ballester, Alejandro Fontan, Javier Civera, Klaus H. Strobl, Rudolph Triebel


  Access Paper or Ask Questions

Gaussian Process Gradient Maps for Loop-Closure Detection in Unstructured Planetary Environments


Sep 01, 2020
Cedric Le Gentil, Mallikarjuna Vayugundla, Riccardo Giubilato, Wolfgang Stürzl, Teresa Vidal-Calleja, Rudolph Triebel

* This work is accepted for presentation at the 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Please find IEEE's copyright statement at the bottom of the first page. Cedric Le Gentil and Mallikarjuna Vayugundla share the first authorship of this paper 

  Access Paper or Ask Questions

Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry


Jul 15, 2020
Kashmira Shinde, Jongseok Lee, Matthias Humt, Aydin Sezgin, Rudolph Triebel

* Published at Workshop on AI for Autonomous Driving (AIAD), the 37th International Conference on Machine Learning, Vienna, Austria, 2020 

  Access Paper or Ask Questions

Effective Version Space Reduction for Convolutional Neural Networks


Jun 22, 2020
Jiayu Liu, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers

* 22 pages, 8 figures, to be published in the Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2020 

  Access Paper or Ask Questions

Estimating Model Uncertainty of Neural Networks in Sparse Information Form


Jun 20, 2020
Jongseok Lee, Matthias Humt, Jianxiang Feng, Rudolph Triebel

* Accepted to the Thirty-seventh International Conference on Machine Learning (ICML) 2020 

  Access Paper or Ask Questions

Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks


Jun 05, 2020
Iñigo Azqueta-Gavaldon, Florian Fröhlich, Klaus Strobl, Rudolph Triebel


  Access Paper or Ask Questions

Visual-Inertial Telepresence for Aerial Manipulation


Mar 25, 2020
Jongseok Lee, Ribin Balachandran, Yuri S. Sarkisov, Marco De Stefano, Andre Coelho, Kashmira Shinde, Min Jun Kim, Rudolph Triebel, Konstantin Kondak

* Accepted to International Conference on Robotics and Automation (ICRA) 2020, IEEE copyright, 8 pages, 10 figures 

  Access Paper or Ask Questions

Self-Supervised Object-in-Gripper Segmentation from Robotic Motions


Mar 03, 2020
Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel

* 13 pages, 9 figures. Video: https://www.youtube.com/watch?v=srEwuuIIgzI 

  Access Paper or Ask Questions

Multi-path Learning for Object Pose Estimation Across Domains


Aug 01, 2019
Martin Sundermeyer, Maximilian Durner, En Yen Puang, Zoltan-Csaba Marton, Rudolph Triebel


  Access Paper or Ask Questions

Non-Parametric Calibration for Classification


Jun 12, 2019
Jonathan Wenger, Hedvig Kjellström, Rudolph Triebel


  Access Paper or Ask Questions

Implicit 3D Orientation Learning for 6D Object Detection from RGB Images


Feb 04, 2019
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, Rudolph Triebel

* European Conference on Computer Vision (ECCV), 2018 
* Code available at: https://github.com/DLR-RM/AugmentedAutoencoder 

  Access Paper or Ask Questions

Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks


Sep 21, 2017
Sahand Sharifzadeh, Ioannis Chiotellis, Rudolph Triebel, Daniel Cremers

* NIPS workshop on Deep Learning for Action and Interaction, 2016 

  Access Paper or Ask Questions