DLR-RM

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

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

granite

oaisys

rosmc

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

moegplib

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

UMF

BPNN

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

python-jsonconversion

Convert arbitrary Python objects into JSON strings and back.

TendonDrivenContinuum

GRACE

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

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.

python-yaml-configuration

SemanticSingleViewReconstruction

multicam_dataset_reader

eagernet-speedplus

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

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.

TMNF

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

tf-dude

dmpbbo-glde-evaluation

mission_control_rafcon_statemachines

rlds_dataset_builder

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

rosmc_interface_msgs

rosmc_turtlesim_statemachines