richardrl

fetch-block-construction

Environment codebase for ICRA 2020 paper "Towards Practical Multi-object Manipulation using Relational Reinforcement Learning"

6dof-graspnet

Implementation of 6-DoF GraspNet with tensorflow and python. This repo has been tested with python 2.7 and tensorflow 1.12.

awr

Implementation of advantage-weighted regression.

bingham-rotation-learning

A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

camera_calibration-1

Accurate geometric camera calibration with generic camera models

compare_contact_solvers

Comparison of solvers using body and contact space coordinates on a Humanoid 4-contact problem

dcp

handical

HexRUNet_pytorch

An unofficial PyTorch implementation of ICCV 2019 paper "Orientation-Aware Semantic Segmentation on Icosahedron Spheres"

lie-vae

VAEs with Lie Group latent space

liegroups

Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch

mctorch

A manifold optimization library for deep learning

Multiple_Planes_Detection

A fast and simple method for multi-planes detection from point cloud

PCGrad

Code for "Gradient Surgery for Multi-Task Learning"

predicting-physical-dynamics

Code for "Predicting the Physical Dynamics of Unseen 3D Objects" presented at WACV 2020.

pybullet-object-models

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

pydrake-examples

Examples of pydrake

PythonLinearNonlinearControl

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Pytorch-Quaternion-Neural-Networks

This repository is an update to all previous repositories with implementations of various Quaternion-valued Neural Networks in PyTorch

pytorch-superpoint

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch_flows

Implementation and tutorials of normalizing flows with the novel distributions module

rai-python

Python bindings to rai. Simple interface to work with robot/world configurations, compute features and their Jacobians, inverse kinematics, path optimization.

relie

Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups

sigma-vae-pytorch

A σ-VAE implementation in PyTorch

ss-pybullet

PyBullet Planning

superquadric_parsing

Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019

TrajectoryOptimization

Study a few robotics systems and their trajectory generation strategies

v-hacd

Automatically exported from code.google.com/p/v-hacd

V2V-PoseNet-pytorch

PyTorch implementation of V2V-PoseNet with IntegralPose/PoseFix loss