RBO (@tu-rbo)
Guthub

tu-rbo

Twitter logo Share LinkedIn logo Share Facebook logo Share
  • Stars
    star
    276
  • Global Org. Rank 33,912 (Top 11 %)
  • Registered over 12 years ago
  • Most used languages
    C++
         37.5 %
    Python
         37.5 %
    CMake     12.5 %
    Jupyter Notebook
         12.5 %
  • Location 🇩🇪 Germany
  • Country Total Rank 5,085
  • Country Ranking
    CMake     339
    Python
         989
    Jupyter Notebook
         1,011
    C++
         1,099

Top repositories

1

differentiable-particle-filters

Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"
Python
177
star
2

turbo-ros-pkg

ROS software repository, Robotics & Biology Laboratory, TU Berlin
C++
27
star
3

omip

Framework for Online Interactive Perception (OMIP) for robots and system to perceive kinematic structures of articulated objects from interactions. For more info on the framework and the system see http://www.robotics.tu-berlin.de/fileadmin/fg170/Publikationen_pdf/martinmartin_ip_iros_2014.pdf
C++
27
star
4

learning-state-representations-with-robotic-priors

Code and data accompaning the paper "Learning State Representations with Robotic Priors" (Jonschkowski and Brock, 2015).
Python
18
star
5

concarne

Lightweight framework for learning with side information (aka privileged information), based on Theano and Lasagne. For more info on learning with side information see http://arxiv.org/abs/1511.06429
Jupyter Notebook
16
star
6

hybrid-automaton-library

Library for creating feedback-based motion descriptions for robots.
C++
5
star
7

articulated-objects

The RBO Dataset of Articulated Objects and Interactions
Python
5
star
8

omip_msgs

Supplementary package that defines the messages for OMIP (Online Multimodal Interactive Perception)
CMake
1
star