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CoRL 2017 : Conference on Robot Learning | |||||||||||
Link: http://www.robot-learning.org/home | |||||||||||
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Call For Papers | |||||||||||
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. Additional information will be made available on the conference website: http://robot-learning.org 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 General Chairs: Vincent Vanhoucke, Google Sergey Levine, UC Berkeley Ken Goldberg, UC Berkeley Publicity and Sponsorship Chair: Debadeepta Dey, Microsoft Research Area Chairs: Abhinav Gupta, CMU George Konidaris, Brown Ingmar Posner, Oxford Jianxiong Xiao, Princeton/AutoX Leslie P. Kaelbling, MIT Marc Deisenroth, UCL Marc Pollefeys, Microsoft/ETH Zurich Raia Hadsell, DeepMind |
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