posted by organizer: debadeepta || 4962 views || tracked by 15 users: [display]

CoRL 2017 : Conference on Robot Learning

FacebookTwitterLinkedInGoogle

Link: http://www.robot-learning.org/home
 
When Nov 13, 2017 - Nov 15, 2017
Where Mountain View, California
Submission Deadline Jun 28, 2017
Notification Due Sep 1, 2017
 

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

Related Resources

IARCE 2021-Ei Compendex & Scopus 2021   2021 5th International Conference on Industrial Automation, Robotics and Control Engineering (IARCE 2021)
SI-DAMLE 2020   Special Issue on Data Analytics and Machine Learning in Education
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
20th ICTEL October, Dubai 2021   20th ICTEL 2021 – International Conference on Teaching, Education & Learning, 23-24 October, Dubai
Fintech 2020   Sustainaility (Q2): Fintech: Recent Advancements in Modern Techniques, Methods and Real-World Solutions
17th ICTEL Rome 2021   17th ICTEL 2021 – International Conference on Teaching, Education & Learning, 06-07 September, Rome
TERA - Eurasia Research 2021   19th ICTEL 2021 – International Conference on Teaching, Education & Learning, 11-12 October, Lisbon
ACM--ICDLT--Ei, Scopus 2021   ACM--2021 5th International Conference on Deep Learning Technologies (ICDLT 2021)--Ei Compendex, Scopus
Online Live September, London 2021   15th ICTEL 2021 – International Conference on Teaching, Education & Learning, 06-07 September, London
13th ICTEL August, Amsterdam 2021   13th ICTEL 2021 – International Conference on Teaching, Education & Learning, 02-03 August, Amsterdam