DLR-RM

3DObjectTracking

Algorithms and Publications on 3D Object Tracking

AugmentedAutoencoder

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

BlenderProc

A procedural Blender pipeline for photorealistic training image generation

granite

oaisys

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-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

rl-trained-agents

A collection of pre-trained RL agents using Stable Baselines3

SingleViewReconstruction

Official Code: 3D Scene Reconstruction from a Single Viewport

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

DLR-RM/stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

DLR-RM/BlenderProc

A procedural Blender pipeline for photorealistic training image generation

DLR-RM/rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

DLR-RM/3DObjectTracking

Algorithms and Publications on 3D Object Tracking

DLR-RM/AugmentedAutoencoder

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

DLR-RM/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.

DLR-RM/rl-trained-agents

A collection of pre-trained RL agents using Stable Baselines3

DLR-RM/granite

DLR-RM/oaisys

DLR-RM/rosmc

ROS Mission Control (ROSMC) -- A high-level mission designining and monitoring tool with intuitive graphical interfaces

DLR-RM/UMF

DLR-RM/moegplib

Official Code: Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes

DLR-RM/BPNN

Official code: Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks

DLR-RM/python-jsonconversion

Convert arbitrary Python objects into JSON strings and back.

DLR-RM/GRACE

Graph Assembly processing networks for robotic assembly sequence planning and feasibility learning

DLR-RM/shape-completion

Code and Datasets for 3D Shape Completion related publications

DLR-RM/BayesSim2Real

Source code for IROS 2022 paper: Bayesian Active Learning for Sim-to-Real Robotic Perception.

DLR-RM/python-yaml-configuration

DLR-RM/SemanticSingleViewReconstruction

DLR-RM/multicam_dataset_reader

DLR-RM/eagernet-speedplus

Code for "6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics", IROS 2023

DLR-RM/RECALL

Code and image database for IROS2022 paper "RECALL: Rehearsal-free Continual Learning for Object Classification". A algorithm to learn new object categories on the fly without forgetting the old ones and without the need to save previous images.

DLR-RM/TMNF

Code for CoRL23 paper "Topology-matching NFs for OOD Detection in Robot Learning"

DLR-RM/tf-dude

DLR-RM/dmpbbo-glde-evaluation

DLR-RM/mission_control_rafcon_statemachines

DLR-RM/rlds_dataset_builder

An example RLDS dataset builder for X-embodiment dataset conversion.

DLR-RM/rosmc_interface_msgs

DLR-RM/rosmc_turtlesim_statemachines

DLR-RM/SID-SLAM

Semi-Direct Information-Driven RGB-D SLAM, IEEE RAL 2023