[robotics-worldwide] [meetings] CFP (deadline extended): IROS 2017 Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics

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[robotics-worldwide] [meetings] CFP (deadline extended): IROS 2017 Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics

Tetsunari Inamura
The deadline of our workshop has been extended.
You are still welcome to submit your paper.

------------------------------------------------------------------
JOINT CALL FOR PAPERS

IROS 2017 The 2nd Workshop on Machine Learning Methods for
High-Level Cognitive Capabilities in Robotics

and

Special Issue in Advanced Robotics Journal: "Machine Learning Methods
for High-Level Cognitive Capabilities in Robotics"

Submission deadline: August 19th, 2017
https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_site_mlhlcr2017_home&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=k6MVxWYrHqOXvd5CgAlhnyGBeqtxlz5P9JrR4ny2ulg&s=Kbie81TVYD-vKElCmEtaLHeR1dOqEKhw_5kcTPXRNs4&e= 

OBJECTIVES
==========
Recent advances in machine learning techniques, including deep
learning and hierarchical Bayesian modeling, are providing us with new
possibilities to integrate high-level and low-level cognitive
capabilities in robotics. It became clear that such learning methods
are indispensable to create robots that can effectively deal with
uncertainty while acting smart in the real world. On the other hand,
no matter how powerful the method is, it cannot cope with the
tremendous complexity of the learning space and problem.  In the last
workshop at IROS 2016, we have launched this workshop to address these
issues and attracted more than one hundred participants to the
workshop.

In this workshop, we will extend the discussion scope how to
accelerate the synergies of low and high-level cognitive capabilities
to develop a robust intelligence that can deal with real-world
problems. For this, we aim to share knowledge about the
state-of-the-art machine learning methods that contribute to modeling
sensory-motor and cognitive capabilities
in robotics, and to exchange views among cutting-edge robotics
researchers with a special emphasis on adaptive high-level cognition.

INVITED SPEAKERS
================
We will have distinguished speakers who are the forerunners of this
interdisciplinary research effort.

- Yiannis Demiris, Imperial College
- Olivier Mangin, Yale University
- Michael Beetz, University of Bremen
- Tomoaki Nakamura, The University of Electro-Communications
- Dustin Tran, Columbia University
- George Konidaris, Brown University, US
- Tetsuya Ogata, Waseda University
- Wataru Takano, Tokyo University
- Erhan Oztop, Ozyegin University

CALL FOR CONTRIBUTIONS
======================
Participants are required to submit a contribution in one of the categories:
  A) Extended abstract (maximum 2 pages in length)
  B) Full paper (maximum 6 pages in length), the paper automatically
submitted to a special issue in Advanced Robotics.

All submissions will be peer-reviewed. Accepted papers will be
presented during the workshop in a poster session. A number of
selected papers will be presented as oral presentations or spotlight
talks.
If you choose the category B), your paper will be automatically
submitted to a special issue named “ Machine Learning Methods for
High-Level Cognitive Capabilities in Robotics” in Advanced Robotics,
which is a journal published by the Robotics Society of Japan. The
review process for the journal is independent of the review for this
workshop; however, you can receive the review result of the journal
within about 90 days (average). It means that you might be able to
state that the paper will be published in the journal later at the
workshop. For this reason, the paper for the B) category should not be
published in the workshop proceedings.


TOPICS
======
We invite contributions in the following topics that are
indicative but by no means exhaustive:
* Multimodal communication
* Emergence of communication
* Learning motor skills and segmentation of time-series information
* Concept formation
* Probabilistic programming and reasoning in robotics
* Language acquisition
* Human-robot communication and collaboration based on machine learning
* Deep learning for robotics
* Model of others
* Skill transfer between agents with different embodiment
* Bayesian modeling for high-level cognitive capabilities
* Sharing experiences through cloud computing
* Application in communicable service robots

IMPORTANT DATES
===============
Submission of abstracts:      August 19, 2017
Notification of acceptance:   August 24, 2017
Workshop:                      September 28, 2017

Special Issue in Advanced Robotics will be published around January in 2019.

ORGANIZERS
==========
* Tetsunari Inamura, National Institute of Informatics, Japan
* Hiroki Yokoyama, University of Tamagawa, Japan
* Emre Ugur, Bogazici University, Turkey
* Xavier Hinaut, INRIA (Bordeaux), France
* Michael Beetz, University of Bremen, Germany
* Tadahiro Taniguchi, Ritsumeikan University, Japan

SUBMISSION
==========
- Submissions must be in PDF following the IEEE conference style in two-columns:
https://urldefense.proofpoint.com/v2/url?u=http-3A__ras.papercept.net_conferences_support_support.php&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=k6MVxWYrHqOXvd5CgAlhnyGBeqtxlz5P9JrR4ny2ulg&s=wKCsx9ChuLD4AlLFXCQwzzjlCkiX8vzk1kaOeRUuVKA&e= 
- Send your PDF manuscript indicating [ML-HLCR 2017] in the subject to
the following email: mlhlcr2017[at]nii.ac.jp

CONTACT
=======
Tetsunari Inamura,
National Institute of Informatics, Japan
https://urldefense.proofpoint.com/v2/url?u=http-3A__www.nii.ac.jp_en_faculty_informatics_inamura-5Ftetsunari_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=k6MVxWYrHqOXvd5CgAlhnyGBeqtxlz5P9JrR4ny2ulg&s=90udkYVHb7XQEifWJZdabJjwSJ2FIcoMsLeditHCrvs&e= 
[hidden email]

Best regards,
------------------------------------------------
Tetsunari Inamura   (Associate Professor)
National Institute of Informatics, JAPAN
SOKENDAI (The Graduate University for Advanced Studies), JAPAN
TEL   : +81-3-4212-2518   FAX : +81-3-4212-2035
URL   : https://urldefense.proofpoint.com/v2/url?u=http-3A__researchmap.jp_inamura_-3Flang-3Denglish&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=k6MVxWYrHqOXvd5CgAlhnyGBeqtxlz5P9JrR4ny2ulg&s=5g_l_6QLlbx3CLu_nfy9AbYL0b-lO2ZO8H2fQt-kmyI&e= 
Email : [hidden email]
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