[robotics-worldwide] [meetings]: CoRL 2018: Registration Open

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[robotics-worldwide] [meetings]: CoRL 2018: Registration Open

Aude Billard
*Registration for 2nd Annual Conference on Robot Learning (CoRL 2018)*:


Registration for CoRL is now open: https://urldefense.proofpoint.com/v2/url?u=http-3A__robot-2Dlearning.org&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=pC_-cdbkbB5nm2tfPrmjR29ifvrXbhxBdcqJfoddkq4&s=lCCkfVUneyZxbQEQUBZmbDWqha_WI51BcmyVj1NATFI&e= 
<https://urldefense.proofpoint.com/v2/url?u=http-3A__robot-2Dlearning.org&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=pC_-cdbkbB5nm2tfPrmjR29ifvrXbhxBdcqJfoddkq4&s=lCCkfVUneyZxbQEQUBZmbDWqha_WI51BcmyVj1NATFI&e=>

*Note*: /Registration will close once we have reached the maximum capacity./

//

The Conference on Robot Learning (CoRL) focuses on the intersection of
robotics and machine learning. CoRL aims at being a selective, top-tier
venue for robot learning research, covering a broad range of topics
spanning robotics and ML, including both theory and practice.

It is a single track conference. CoRL 2018 will take place on October
29-31 2018 in Zurich. The meeting will be right in the center of the
city and is hosted by the ETHZ. It will feature 6 plenary speakers and 4
tutorials given by some of the best researchers in machine learning and
robotics, see CoRL program: https://urldefense.proofpoint.com/v2/url?u=http-3A__www.robot-2Dlearning.org_home_program&d=DwICaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=pC_-cdbkbB5nm2tfPrmjR29ifvrXbhxBdcqJfoddkq4&s=TE6Icwbsmgz_Z2FBslnUP2ogjpn-KymyXFadWBKHdwg&e=

KEYNOTE SPEAKERS:

Danica Kragic, KTH

Marc Toussaint, University of Stuttgart

Leslie Kaelbling, MIT

Daisuke Okanohara, Preferred Networks

Joelle Pineau, McGill University

Masahiro Fujita, SONY corp.

TUTORIAL SPEAKERS:

Benjamin Recht, UC. Berkeley

Jean-Jacques Slotine, MIT

Emanuel Todorov, University of Washington

Masashi Sugiyama, The University of Tokyo / RIKEN AIP

ORGANIZING COMMITTEE:

General Chairs:

Aude Billard, EPFL - General Chair

Roland Siegwart, ETHZ - co-General Chair

Program Chairs:

Anca Dragan, UC Berkeley

Jan Peters, TU Darmstadt

Jun Morimoto, ATR

Local Chairs:

Cesar Cadena, ETHZ

Margarita Chli, ETHZ

Davide Scarramuzza, UNIZH

Sponsorship Chairs:

Torsten Kroeger, KIT - Chair

Roberto Calendra, UC Berkeley - co-Chair

Area Chairs:

Abdeslam Boularias, Rutgers University

Abhinav Gupta, CMU

Ashwin Dani, Univ. of Connecticut

Byron Boots, Georgia Institute of Technology

Chelsea Finn, UC Berkeley

Dorsa Sadigh, Stanford University

Eiji Uchibe, ATR

Elmar Rueckert, University of Luebeck

George Konidaris, Brown University

Gerhard Neumann, Lincoln University

Guilherme Maeda, ATR

Heni Ben Amor, Arizona State University

Herke van Hoof, McGill University

Honglak Lee, University of Michingan Ann Arbor, USA

Igor Mordatch, OpenAI

Jeannette Bohg, Stanford University

Jens Kober, TU Delft

Jianxiong Xiao, AutoX

Jonas Buchli, ETH

Joni Pajarinen, Technische Universitat Darmstadt

Jun Nakanishi, Nagoya University

Karen Liu, Georgia Institute of Technology

Leslie Kaelbling, MIT

Manuel Lopes, INRIA

Marco Pavone, Stanford University

Oliver Kroemer, University of Southern California

Pierre-Yves Oudeyer, Inria

Raia Hadsell, Google Deepmind

Riad Akrour, TU Darmstadt

Sergey Levine, UC Berkeley

Sonia Chernova, Georgia Institute of Technology

Stefanie Tellex, Brown University

Takamitsu Matsubara, NAIST

Takayuki Osa, Univ. of Tokyo

Tetsunari Inamura, NII Japan

Torsten Kroeger, KIT

Tucker Hermans, University of Utah

Vincent Vanhoucke, Google

Vladlen Koltun, Intel Labs

Wataru Takano, Osaka University

Wolfram Burgard, University of Freiburg

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