1st Annual Conference on Robot Learning (CoRL 2017)
The Conference on Robot Learning (CoRL) is a new annual international conference focusing on the intersection of robotics and machine learning. The first meeting will be held in Mountain View, California, November 13 - 15, 2017, and will aim to bring together about 250 of the best researchers at the intersection of robotics and machine learning.
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.
We hope to see you in November.
Want to distribute CoRL handouts? Printable version is here.
Paper submission deadline (archival and non-archival track)
Paper acceptance notification
J. Andrew (Drew) Bagnell | Associate Professor, Carnegie Mellon University | Read more
Rodney Brooks | Professor Emeritus, MIT | Read more
Anca Dragan | Assistant Professor, UC Berkeley | Read more
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 | Assistant Professor, Brown University | Read more
Humans to Robots Laboratory
Sponsors and supporters
Partners & publication support