DLR-RM

DLR-RM's repositories

stable-baselines3

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

Language:PythonMIT11518 62 1530

BlenderProc

A procedural Blender pipeline for photorealistic training image generation

Language:PythonGPL-3.03217 43 885

rl-baselines3-zoo

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

Language:PythonMIT2545 20 258

3DObjectTracking

Algorithms and Publications on 3D Object Tracking

Language:C++MIT861 25 70

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.

Language:PythonEPL-1.0192 18 613

rl-trained-agents

A collection of pre-trained RL agents using Stable Baselines3

Language:PythonMIT124 3 6

oaisys

Language:PythonMIT63 7 9

UMF

Language:PythonMIT20 1 6

shape-completion

Code and Datasets for 3D Shape Completion related publications

Language:PythonMIT11 10

GRACE

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

Language:PythonMIT10 20

python-jsonconversion

Convert arbitrary Python objects into JSON strings and back.

Language:PythonBSD-2-Clause9 5 2

BPNN

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

Language:PythonGPL-3.08 10

BayesSim2Real

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

Language:PythonMIT4 10

python-yaml-configuration

Language:PythonBSD-2-Clause4 20

SID-SLAM

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

Language:C++MIT400

eagernet-speedplus

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

3 1 2

interactive-incremental-learning

300

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.

Language:PythonMIT3 30