Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

Collection of object models compatible with pybullet simulator https://github.com/bulletphysics/bullet3/tree/master/examples/pybullet

Collection of urdf models (including part of YCB dataset). Made for robot manipulation and grasping simulation, tested with PyBullet.

Instance Segmentation Aided 6D Object Pose and Velocity Tracking using an Unscented Kalman Filter

YCB Java

Scripts to generate and process point clouds in YCB dataset.

MuJoCo models for YCB objects (https://www.ycbbenchmarks.com/)

The Fast-YCB Dataset

This project allows users to generate synthetic videos from CAD models, including .npy files with additional information. Models are loaded dynamically into a Blender scene, and the camera smoothly moves along spherical points to create the final video.

Models of standard YCB objects used in RoboCup@Home

Benchmarking parallel simulations on pybullet.