tu-rbo/articulated-objects

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Created about 7 years ago
Updated over 4 years ago

tu-rbo/articulated-objects

tu-rbo

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The RBO Dataset of Articulated Objects and Interactions

differentiable-particle-filters

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

turbo-ros-pkg

ROS software repository, Robotics & Biology Laboratory, TU Berlin

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

learning-state-representations-with-robotic-priors

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

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

hybrid-automaton-library

Library for creating feedback-based motion descriptions for robots.

omip_msgs

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