ORRB - OpenAI Remote Rendering Backend

By Maciek Chociej, Peter Welinder, Lilian Weng. 2019

13 citations recorded by the source corpus.

We present the OpenAI Remote Rendering Backend (ORRB), a system that allows fast and customizable rendering of robotics environments. It is based on the Unity3d game engine and interfaces with the MuJoCo physics simulation library. ORRB was designed with visual domain randomization in mind. It is optimized for cloud deployment and high throughput operation. We are releasing it to the public under a liberal MIT license: this https URL .

Subfields: Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computer Networks and Communications, ML Systems & Hardware

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Citations in the corpus

Habitat 2.0: Training Home Assistants to Rearrange their Habitat (2021, background): “PyBullet [38], MuJoCo [29], DART [39], ODE [40], PhysX/FleX [41, 42], and Chrono [43] are primarily physics engines with some level of rendering, while Magnum [44], ORRB [45], and PyRender [46] are primarily renderers.”
Solving Rubik's Cube with a Robot Hand (2019, methodology): “When training vision models, ADR controls both the ranges of randomization in ORRB (i.e. light distance, material metallic and glossiness) and TensorFlow distortion operations (i.e. adding Gaussian noise and channel noise).”
Synthetic Data for Deep Learning (2019, methodology): “ted cloud environments. ORRB has been used to train 10https://www.ros.org/ 38 (a) (b) (c) Figure 14: Sample images from robotic simulation environments: (a) VRGym [658]; (b) VRKitchen [192]; (c) ORRB [112]. Dactyl [432], a robotic hand for multi-nger small object manipulation developed by OpenAI; Da”