This repository is intended for useful resources and relevant research papers in the area of sim2real, synthetic dataset creation for image recognition and other CV tasks, game engine tools for reinforcement learning.
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization (CVPR 2018)
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects (Conference on Robot Learning 2018)
Virtual-to-real Deep Reinforcement Learning: Mobile Robots Mapless Navigation
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
Unity is a general purpose real time game engine, with build-in graphics and physics engine as well as some specific integrations and tools for sim2real work or reinforcement learning.
The Unity SimViz Solution Template package includes sensor models, referred to as SynCity Lite, scene models, and supporting documentation. The parts can work together or separately, depending on the use case.
Sensor models included:
- RGB-D Camera
- LiDAR
- Radar
- IMU
- GPS
*please check license for each dataset
ShapeNET [Link]
ObjectNet3D [Link]
ABC: A Big CAD Model Dataset For Geometric Deep Learning [arXiv]
