DLR-RM's repositories
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
BlenderProc
A procedural Blender pipeline for photorealistic training image generation
rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
3DObjectTracking
Algorithms and Publications on 3D Object Tracking
AugmentedAutoencoder
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
SingleViewReconstruction
Official Code: 3D Scene Reconstruction from a Single Viewport
RAFCON
RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.
rl-trained-agents
A collection of pre-trained RL agents using Stable Baselines3
python-jsonconversion
Convert arbitrary Python objects into JSON strings and back.
shape-completion
Code and Datasets for 3D Shape Completion related publications
BayesSim2Real
Source code for IROS 2022 paper: Bayesian Active Learning for Sim-to-Real Robotic Perception.
eagernet-speedplus
Code for "6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics", IROS 2023
rlds_dataset_builder
An example RLDS dataset builder for X-embodiment dataset conversion.