There are 4 repositories under domain-randomization topic.
Perception toolkit for sim2real training and validation in Unity
NVIDIA Deep learning Dataset Synthesizer (NDDS)
SynthDet - An end-to-end object detection pipeline using synthetic data
Deep Reinforcement Learning for Robotic Grasping from Octrees
Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai
reinforcement learning from randomized simulations
This project implements a simulated grasp-and-lift process in V-REP using the Barrett Hand, with an interface through a python remote API.
Domain randomization for gazebo simulator
Environment Generator for Air Learning Project. This version is build on top of UE4 game engine
Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.
This is the official implementation of our work entitled "Multistream Gaze Estimation with Anatomical Eye Region Isolation by Synthetic to Real Transfer Learning" accepted in IEEE Transactions on Artificial Intelligence
DROPO: Sim-to-Real Transfer with Offline Domain Randomization
Domain Randomization Shape Detection
Online vs. Offline Adaptive Domain Randomization Benchmark
The repository is intended as a support tool for the report of the project "Sim to Real transfer of Reinforcement Learning Policies in Robotics" and it contains examples of some well-known algorithms and methods in the fields of Reinforcement Learning and Sim-to-Real transfer. The implementation is not thought to be efficient, thus we suggest you to avoid using this repo for purposes other than educational.
Domain Randomization for Robust, Affordable and Effective Closed-loop Control of Soft Robots
Synthetic dataset generation for vision-based prosthetic grasping
Development of an image-based autonomous driving system for an e-FSAE.
Enabling Faster Training of Robust Reinforcement Learning Policies for Soft Robots
Using Blender and Python to generate synthetic data for training an 8-class YOLOv5 detector in a highway driving scenario (Sedan, SUV, Van, Truck, Bus, Warning Sign, Speed Limit Sign, Speed Cam Sign).
Generates robot models with noise added to URDF parameters for domain randomization
Augmentation of event-based machine learning dataset for image segmentation using noise injection
Apply various methodologies to sentiment classification and report the performance.
Code for the paper "Generative Adversarial Reinforcement Learning"
Sim2Real for joint robotic locomotion and manipulation with RCAN
A synthetic data generator for retail object detection, which is built with Blender and Python.
Project Page (ObjectDR)
Machine Learining and Deep Learing algorithms for electronic components detection. Master thesis project. Msc Data Science and Engineering at Polito.