[robotics-worldwide] [journals] CFP: Advanced Robotics: Special Issue on "Machine Learning Methods for High-Level Cognitive Capabilities in Robotics"

Tetsunari Inamura inamura at nii.ac.jp
Wed Apr 18 06:42:28 PDT 2018

                        Advanced Robotics
Special Issue on "Machine Learning Methods for
High-Level Cognitive Capabilities in Robotics"
We would like to kindly invite you to submit a paper to the Special Issue on
"Machine Learning Methods for High-Level Cognitive Capabilities in Robotics"
in Advanced Robotics, which is an international journal organized by RSJ
(Robotics Society of Japan)

Important dates:
Submission deadline:  (EXTENDED) 31st May 2018
Notification of acceptance: Aug--Sep 2018
Final Submission: 31st Oct 2018
Publication in Vol. 33, No. 1 (January 2019)

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. On the one hand, it
became clear that such learning methods are indispensable to create
robots that can
effectively deal with uncertainty while acting smartly in the real
world. On the other
hand, no matter how powerful the method is, a simple application of a
single algorithm cannot cope with the tremendous complexity of all the
learning spaces and problems.

This special issue focuses how to create and accelerate the synergies of low and
high-level cognitive capabilities to develop a robust and adaptive
intelligence that can
deal with real-world problems. Papers on the state-of-the-art machine learning
methods that contribute to modeling sensory-motor and cognitive capabilities in
robotics are welcome, including, but not limited to the following topics:
- Multimodal communication
- Emergence of communication
- Concept formation
- Language acquisition
- Human-robot collaboration
- Deep learning for robotics
- Learning motor skills and segmentation of time-series information
- Probabilistic programming and reasoning in robotics
- Bayesian modeling for high-level cognitive capabilities

The full-length manuscript (either PDF file or MS word file) should
be sent by 31st May 2018 to the office of Advanced Robotics, the
Robotics Society
of Japan through the web page of Advanced Robotics
(https://urldefense.proofpoint.com/v2/url?u=http-3A__www.rsj.or.jp_ar_submission&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=tXXSc9ma6QKvtBVlOc55ScBJfEg8EMWGu07dnJugkzk&s=b4Vd630PVwps3ysB-PkLQCTWJHGJ44IZNrZj8T2_THE&e=). Sample form of the manuscript as
well as the
Instruction for Authors is available at the web page. Also, send another copy to
Tetsunari Inamura (inamura at nii.ac.jp) for submission confirmation.

Guest Co-Editors:
Assoc. Prof. Tetsunari Inamura (National Institute of Informatics, Japan)
Dr. Hiroki Yokoyama (University of Tamagawa, Japan)
Assist. Prof. Emre Ugur (Bogazici University, Turkey)
Dr. Xavier Hinaut (INRIA, France)
Prof. Michael Beetz (University of Bremen, Germany)
Prof. Tadahiro Taniguchi (Ritsumeikan University, Japan)

We are looking forward to your submission.
Best regards,
Tetsunari Inamura   (Associate Professor)
National Institute of Informatics, JAPAN
SOKENDAI (The Graduate University for Advanced Studies), JAPAN
Invited Researcher, Artificial Intelligence Research Center, AIST
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=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=tXXSc9ma6QKvtBVlOc55ScBJfEg8EMWGu07dnJugkzk&s=Lhe1oXG02umgjDVdEcRIQnT0kgcD90t89rjAbi8DHmE&e=
Email : inamura at nii.ac.jp

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