Conference on Robot Learning (CoRL)
  
The Conference on Robot Learning (CoRL) is a new annual international conference focusing on the intersection of robotics and machine learning. The first meeting (CoRL 2017) was held in Mountain View, California, November 13 - 15, 2017, and aimed to bring together about 250 of the best researchers working on robotics and machine learning.

The second meeting will be held on October 29th-31st, 2018, in Zürich, Switzerland.

The fields of robotics, autonomous perception, and control are undergoing a machine learning revolution. Now is the time to dedicate a venue that will combine fundamental advances in machine learning with an empirical exploration of robotics applications and theory. We invite cutting-edge research papers to be submitted to CoRL 2017. Accepted papers will published via the JMLR Workshop & Conference Proceedings series and will be presented either as posters or oral presentations in the plenary session. Our aim is to make CoRL the top venue for robot learning research.

The conference is being organized with help from the International Foundation of Robotics Research (IFRR), publication support from the Journal of Machine Learning (JMLR), and financial support from our sponsors.

Proceedings here!

Watch video recordings:
Day 1: https://www.youtube.com/watch?v=_9Ny2ghjwuY
Day 2: https://www.youtube.com/watch?v=xfyK03MEZ9Q
Day 3: https://www.youtube.com/watch?v=UDLI9K6b9G8

General Chairs' notes regarding the paper submissions.
General Chairs' notes regarding accepted papers and the review process.

Key dates

28 June:  
Paper submission deadline (archival and non-archival track)
17 July:  
Conference waitlist opens
1 Sept: 
Paper acceptance notifications
1-10 Sept:
Accepted co-author registration window
15 Oct:  
Camera ready papers due   
13-15 Nov:
Conference

Keynote speakers
J. Andrew (Drew) Bagnell | Associate Professor, Carnegie Mellon University | Read more
LAIRLAB 





Rodney Brooks | Professor Emeritus, MIT | Read more
Rethink Robotics
iRobot






Anca Dragan | Assistant Professor, UC Berkeley | Read more
InterACT Lab
Berkeley AI Research (BAIR) Lab
Center for Human-Compatible AI






Yann LeCun | Director of AI Research, Facebook and Silver Professor, NYU | Read more
NYU Center for Data Science
Computational and Biological Learning Lab
CILVR Lab: Computational Intelligence, Vision Robotics Lab
VLG: The Vision-Learning-Graphics Group





Stefanie Tellex | Joukowsky Family Assistant Professor of Computer Science, Brown University | Read more
Humans to Robots Laboratory








Sponsors and supporters

Gold sponsors
http://shop.panasonic.com/  
google.com
https://deepmind.com/  
 https://www.siemens.com/us/en/home/company/topic-areas/ingenuity-for-life.html?stc=uscg101719&s_kwcid=AL!462!3!201261371192!e!!g!!siemens&ef_id=WSIhQwAABHkfVtaY:20170829232729:s
http://www.nvidia.com/content/global/global.php
  https://www.autox.ai/
https://www.amazon.com/




Silver sponsors
https://www.microsoft.com/en-us/research/
https://research.fb.com/
http://www.osaro.com/
http://roboticvision.org/
https://nuro.ai/
http://en.cloudminds.com/
http://argmax.ai/http://www.offworld.ai/
Partners & publication support

Journal of Machine Learning Research: proceedings publication