Imperial Festival 2018 - Professor A. Davison and Rob Deaves from Dyson

Imperial Festival 2018 - Professor A. Davison

Imperial Festival 2018 - Shuaifeng Zhi and Zoe Landgraf

Imperial Festival 2018

Imperial Festival 2018

Imperial Festival 2018

Two positions available: Dyson Fellow and Research Engineer

28-29th April 2018

This year Imperial Festival attracted more than 20,000 visitors and Dyson Robotics Lab was there too. 


  

24th April 2018

We have two open positions at the Dyson Robotics Lab focusing on breakthrough 3D vision, learning-based semantic SLAM and vision-guided manipulation. We work on long-term publishable research while also collaborating with Dyson on novel applications in home robotics.

The first is a Dyson Fellow position (current and recent holders of these positions include Ed Johns, Michael Bloesch, Ronnie Clark, Ankur Handa, Tom Whelan and Akis Tsiotsios), where we are looking for a leading post-doctoral researcher in any of our areas of interest to take responsibility for part of our core research mission. More Info.

The second is a Research Engineer position, where we need someone with exceptional engineering skills in applied robotics and computer vision who will play a key role in adding structure to our research efforts and in transferring developments to Dyson's in-house robotics team. More Info.

Please feel free to get in touch with any informal questions, or follow the links to the adverts for official details on how to apply.
 


 

27th March 2018

Estonia's President, Kersti Kaljulaid, visited the Dyson Robotics Lab where Professor Andrew Davison, Dr Stefan Leutenegger and Dr Ed Johns showed how the lab's work in AI and computer vision are finding new applications in home robotics. More Info.


 

26th March 2018

Congratulations to Michael and Jan. Their CodeSLAM paper has been accepted for an oral presentation in CVPR2018 in Salt Lake City, US. More Info.


 

25th October 2017

John's McCormac work on SceneNet RGB-D was featured in the ICCV'17 daily magazine. John talks about his work to produce a large dataset for indoor segmentation tasks. More Info.


 

5th September 2017

Congratulations to Professor Andrew Davison for being selected to the Fellowship of the Royal Academy of Engineering. More Info.


 

24th July 2017

Two papers have been accepted from our group; one at IROS 2017 and one at ICCV 2017. Congratulations to Tristan and John. More Info.


 

14th July 2017

The 2nd Uk Robot Manipulation Workshop organised by Ed Johns, a Dyson Fellow at the Dyson Robotics Lab is featured today at Imperial's main website. A nice review of the workshop on robot manipulation that attracted 145 participants from UK academia and industry. More on this. 


 

10-11th July 2017

The 2nd UK Robot Manipulation Workshop will take place on Monday 10th and Tuesday 11th of July at Imperial College London. It is a UK-wide community-building event, bringing together researchers and engineers across both academia and industry. Topics will cover the full range of disciplines in robot manipulation, across both hardware and software, including mechanical design, sensor design, control, haptics, vision, and learning. The workshop is sponsored by Dyson Robotics Lab, Ocado Technology, Shadow Robot Company and IET. More info


 

3rd April 2017

New York Times journalist visited Professor Andrew Davison a couple of weeks ago. We are proud that our lab and work is mentioned in an article about Dyson pushished today. Click here to read the article


 

2nd February 2017

We have a Dyson sponsored fellowship available for an outstanding researcher. The deadline for submitting an application is 16th of February. Please follow the link for more information regarding this position.


 

17th January 2017

We have four papers accepted for ICRA 2017!

Robert Lukierski, Stefan Leutenegger and Andrew J. Davison. Room Layout Estimation from Rapid Omnidirectional Exploration, 2017, IEEE International Conference on Robotics and Automation (ICRA). (dyson funded)

John McCormac, Ankur Handa, Andrew J Davison, Stefan Leutenegger. SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks, 2017, IEEE International Conference on Robotics and Automation (ICRA). (dyson funded)

Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H J Kelly, Andrew J Davison. Application-oriented Design Space Exploration for SLAM Algorithms, 2017, IEEE International Conference on Robotics and Automation (ICRA). (non-dyson funded)

Lukas Platinsky, Andrew J. Davison, and Stefan Leutenegger. Monocular Visual Odometry: Sparse Joint Optimisation or Dense2017, IEEE International Conference on Robotics and Automation (ICRA). (non-dyson funded) 


18th December 2016

dataset

We introduce SceneNet RGB-D, expanding the previous work of SceneNet to enable large scale photorealistic rendering of indoor scene trajectories. It provides pixel-perfect ground truth for scene understanding problems such as semantic segmentation, instance segmentation, and object detection, and also for geometric computer vision problems such as optical flow, depth estimation, camera pose estimation, and 3D reconstruction. Random sampling permits virtually unlimited scene configurations, and here we provide a set of 5M rendered RGB-D images from over 15K trajectories in synthetic layouts with random but physically simulated object poses. Each layout also has random lighting, camera trajectories, and textures. The scale of this dataset is well suited for pre-training data-driven computer vision techniques from scratch with RGB-D inputs, which previously has been limited by relatively small labelled datasets in NYUv2 and SUN RGB-D. It also provides a basis for investigating 3D scene labelling tasks by providing perfect camera poses and depth data as proxy for a SLAM system.

SceneNet RGB-D