Perception toolkit for sim2real training and validation in Unity

NVIDIA Deep learning Dataset Synthesizer (NDDS)

Deep Reinforcement Learning for Robotic Grasping from Octrees

SynthDet - An end-to-end object detection pipeline using synthetic data

Use Unity to generate synthetic images for deep learning image segmentation in PyTorch and fastai

Grasping in GAZEBO robotics simulator.

Gazebo plugins for applying domain randomization

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.

Environment Generator for Air Learning Project. This version is build on top of UE4 game engine

Domain randomization for gazebo simulator

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

Sim-to-Real reinforcement learning for MuJoCo Hopper locomotion with domain randomization, curriculum learning, and entropy scheduling

[WACV 2024] AnyStar: Domain randomized universal star-convex 3D instance segmentation

Domain Randomization Shape Detection

Enabling Faster Training of Robust Reinforcement Learning Policies for Soft Robots

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 yo…

Mobile manipulator pick-and-place via reinforcement learning — UR3 arm on a diff-drive base, trained end-to-end with TQC in Gazebo/ROS2