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3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

ai4animation

Bringing Characters to Life with Computer Brains in Unity

ar2

6 axis stepper motor robot and control software - Gen2

arc-robot-vision

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

dex-net

Repository for reading the Dex-Net 2.0 HDF5 database of 3D objects, parallel-jaw grasps, and robust grasp metrics

drl-hwrks

Deep RL Algorithms implemented for UC Berkeley's CS 294-112: Deep Reinforcement Learning

enertalk-dataset

The ENERTALK Dataset, 15 Hz Electricity Consumption Data from 22 Houses in Korea

gpis

Work on Gaussian Process Implicit Surfaces

gqcnn

Python modules for GQ-CNN training and deployment, with ROS integration

learningcourse

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mastering_ros

This repository contains exercise files of the book "Mastering ROS for Robotics Programming"

mil

Code for "One-Shot Visual Imitation Learning via Meta-Learning"

mytest

pydobot

Python library for Dobot Magician

rcdiscover

Tools for the discovery of Roboception rc_visard sensors via GigE Vision.

robostatshw3

ros-in-five-days

Programs made in the "Robot Ignite Academy" course (http://www.robotigniteacademy.com/)

sd-maskrcnn

Code for SD Mask R-CNN Project

smart_grasping_sandbox

A public sandbox for Shadow's Smart Grasping System

softqlearning

Reinforcement Learning with Deep Energy-Based Policies

vin_pytorch_visdom

PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.

visual-pushing-grasping

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.