CALL FOR PAPERS: 1ST ANNUAL CONFERENCE ON ROBOT LEARNING

The 1st Annual Conference on Robot Learning (CoRL 2017) is soliciting contribution at the intersection of robotics and machine learning. CoRL will be established as a selective, top-tier venue for robot learning research, covering a broad range of topics spanning robotics and ML, including both theory and practice:
  • Reinforcement learning
  • Model learning and control
  • State estimation, mapping, and computer vision
  • Multimodal perception and sensor fusion
  • Learning-based human robot interaction, natural language instruction processing
  • Applications in manipulation, mobility, driving, flight, and other areas of robotics
  • Bio-inspired learning and control
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. CoRL will be organized as a focused three-day meeting, with invited keynote talks and contributor presentations. 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.

Location
Mountain View, California, USA

Key dates
Paper submission deadline: June 28, 2017 (both archival and workshop track)
Paper acceptance notification: September 1, 2017
Conference dates: November 13-15, 2017

Organizers

PAPER SUBMISSION REQUIREMENTS & INSTRUCTIONS ON HOW TO SUBMIT COMING SOON

Journal of Machine Learning Research: proceedings publication