Libraries, tools and tasks created and used at DeepMind Robotics.

Last update: Jan 06, 2023

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Overview

`dm_robotics`: Libraries, tools, and tasks created and used for Robotics research at DeepMind.

Package overview

Package	Summary
Transformations	Rigid body transformations
Geometry	Scene and Robot geometry primitives
Vision	Visual blob detection and tracking
AgentFlow	Reinforcement Learning agent composition library
Manipulation	"RGB" object meshes for manipulation tasks
MoMa	Manipulation environment definition library, for simulated and real robots
Controllers	QP-optimization based cartesian controller
Controller Bindings	Python bindings for the controller
Least Squares QP	QP task definition and solver

Installation

These libraries are distributed on PyPI, the packages are:

dm_robotics-transformations
dm_robotics-geometry
dm_robotics-vision
dm_robotics-agentflow
dm_robotics-manipulation
dm_robotics-moma
dm_robotics-controllers

Python versions 3.7, 3.8 and 3.9 are supported.

Dependencies

MoMa, Manipulation and Controllers depend on MuJoCo, the other packages do not. See the individual packages for more information on their dependencies.

Building

To build and test the libraries, run build.sh. This script assumes:

MuJoCo is installed.
dm_control is installed.
cmake version >= 3.20.2 is installed.
Python 3.7, 3.8 or 3.9 and system headers are installed.
GCC version 9 or later is installed.
numpy is installed.

The Python libraries are tested with tox, the C++ code is built and tested with cmake.

Tox's distshare mechanism is used to share the built source distribution packages between the packages.

Libraries, tools and tasks created and used at DeepMind Robotics.

Related tags

Overview

`dm_robotics`: Libraries, tools, and tasks created and used for Robotics research at DeepMind.

Package overview

Installation

Dependencies

Building

Owner

DeepMind

Learning Compatible Embeddings, ICCV 2021

RoboDesk A Multi-Task Reinforcement Learning Benchmark

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

Playable Video Generation

A python library for highly configurable transformers - easing model architecture search and experimentation.

On Evaluation Metrics for Graph Generative Models

Si Adek Keras is software VR dangerous object detection.

A model to classify a piece of news as REAL or FAKE

This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA)

Code for Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

Language models are open knowledge graphs ( non official implementation )

Use unsupervised and supervised learning to predict stocks

The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".

LQM - Improving Object Detection by Estimating Bounding Box Quality Accurately

Implementation of "Efficient Regional Memory Network for Video Object Segmentation" (Xie et al., CVPR 2021).

L-Verse: Bidirectional Generation Between Image and Text

[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

A package, and script, to perform imaging transcriptomics on a neuroimaging scan.

An All-MLP solution for Vision, from Google AI

Libraries, tools and tasks created and used at DeepMind Robotics.

Related tags

Overview

dm_robotics: Libraries, tools, and tasks created and used for Robotics research at DeepMind.

Package overview

Installation

Dependencies

Building

Owner

DeepMind

Learning Compatible Embeddings, ICCV 2021

RoboDesk A Multi-Task Reinforcement Learning Benchmark

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples

Playable Video Generation

A python library for highly configurable transformers - easing model architecture search and experimentation.

On Evaluation Metrics for Graph Generative Models

Si Adek Keras is software VR dangerous object detection.

A model to classify a piece of news as REAL or FAKE

This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA)

Code for Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions

Language models are open knowledge graphs ( non official implementation )

Use unsupervised and supervised learning to predict stocks

The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".

LQM - Improving Object Detection by Estimating Bounding Box Quality Accurately

Implementation of "Efficient Regional Memory Network for Video Object Segmentation" (Xie et al., CVPR 2021).

L-Verse: Bidirectional Generation Between Image and Text

[NeurIPS-2021] Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

A package, and script, to perform imaging transcriptomics on a neuroimaging scan.

An All-MLP solution for Vision, from Google AI

`dm_robotics`: Libraries, tools, and tasks created and used for Robotics research at DeepMind.