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3dobjecttracking

Algorithms and Publications on 3D Object Tracking

amp

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

augmentedautoencoder

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

bayessim2real

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

blenderproc

A procedural Blender pipeline for photorealistic training image generation

bpnn

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

contextual-mirs-assistance

curvature

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

distinctnet

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

dmpbbo-glde-evaluation

eagernet-speedplus

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

exrenet

Learning to Localize in New Environments from Synthetic Training Data

grace

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

granite

gtkmvc3

Porting of gtkmvc to gtk3

instr

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

mission_control_rafcon_statemachines

moegplib

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

multicam_dataset_reader

oaisys

python-acknowledged-udp

python-jsonconversion

Convert arbitrary Python objects into JSON strings and back.

python-yaml-configuration

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.

rafcon-monitoring-plugin

rafcon-ros-state-machines

RAFCON state machine examples using the ROS middleware

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.

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