Optical Flow Library

Algorithm designed to process the image stream of a high-speed, high-resolution camera (1Mpix at 200+ Hz) online, and provide a useful visual cue such as optical flow to the robot controller.

Geometric computer vision

OpenGV is a C++ library for solving geometric computer vision problems. It contains efficient implementations of absolute-pose, relative-pose, triangulation, and point-cloud alignment methods for the calibrated case.

Point Cloud Library

The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and is free for commerical and research use.

Robot Operating System

The Robot Operating System (ROS) is a flexible framework for writing robot software. It is a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of robotic platforms.

ACRV Picking Benchmark

A physical benchmark for robotic picking: objects, configuration, and overall benchmark rules. Challenges are an important way to drive progress but they occur only occasionally and the test conditions are difficult to replicate outside the challenge. This benchmark is motivated by experience in the recent Amazon Picking Challenge.

QUT Robot Academy

The open online robotics education source. University-level, short video lessons and full online courses to help you understand and prepare for this technology of the future.

Tom’s notes on Lie groups

Tom Drummond's notes on the use of Lie Groups and Projective Geometry for Engineering and Computer Vision.

Multiple View Geometry in Computer Vision

The classic introduction to the geometric relationship between the 3D world and 2D image projections.

Robotics, Vision and Control

A gentle introduction to robotics, computer vision and their combination: robotic vision.

Brave new ideas for motion representations in videos II, CVPR 2017

In the late years Deep Learning has been a great force of change on most computer vision tasks. In video analysis problems, however, such as action recognition and detection, motion analysis and tracking, shallow architectures remain surprisingly competitive. What is the reason for this conundrum? Larger datasets are part of the solution.

Workshop on Deep Learning for Robotic Vision, CVPR 2017

Recent advances in deep learning techniques have made impressive progress in many areas of computer vision, including classification, detection, and segmentation. While all of these areas are relevant to robotics applications, robotics also presents many unique challenges which require new approaches.

ICRA 2018 in Brisbane

The International Conference on Robotics and Automation (ICRA) 2018 will be held for the first time in Australia in Brisbane from the 21st to 25th May.

Workshop on New Frontiers for Deep Learning in Robotics, RSS 2017

In this workshop a wide range of renowned experts will discuss deep learning techniques at the frontier of research that are not yet widely adopted, discussed, or well-known in the robotics community. The workshop is organised in conjunction with the Robotics: Science and Systems conference (RSS) at MIT, Boston, USA and takes place on July 15, 2017.

DeepMind (Deep Learning and Robotics)

Andrej Karpathy (Deep Learning)

Ferenc Huszár (Deep Learning)

Tomasz Malisiewicz (Computer Vision & Deep Learning)

New Deep Learning Supercomputer

Deep learning supercomputer is providing the computer power to train deeper and larger models and to handle large numbers of parameters and big data.

Google Impact Challenge

Centre Researchers Chief Investigator Matt Dunbabin and Research Fellow Feras Dayoub won the people's choice award in the Google Impact Challenge Australia in 2016. The award is worth $750,000. Their project with the Great Barrier Reef Foundation will create a low-cost 'robo reef protector'.