DLR-RM/BayesSim2Real

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Python
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MIT License
Created about 2 years ago
Updated over 1 year ago

DLR-RM/BayesSim2Real

DLR-RM

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

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

oaisys

granite

instr

code of paper „Unknown Object Segmentation from Stereo Images“, IROS 2021

curvature

Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.

UMF

amp

Point-to-point motion planning library for articulated robots.

DistinctNet

"What's This?" - Learning to Segment Unknown Objects from Manipulation Sequences

GRACE

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

rosmc

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

python-jsonconversion

Convert arbitrary Python objects into JSON strings and back.

moegplib

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

ExReNet

Learning to Localize in New Environments from Synthetic Training Data

RAFCON-ros-state-machines

RAFCON state machine examples using the ROS middleware

python-yaml-configuration

TendonDrivenContinuum

multicam_dataset_reader

stios-utils

utility functions for the [Stereo Instance on Surfaces (STOIS) dataset

SemanticSingleViewReconstruction

rafcon-task-planner-plugin

A Plugin for RAFCON to interface arbitrary PDDL Planner.

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.