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
- Concept formation
- Human-robot collaboration
- Learning motor skills and segmentation of time-series information
- Probabilistic programing and reasoning in robotics
- Bayesian modeling for high-level cognitive capabilities
- Emergence of communication
- Language acquisition
- Deep learning for robotics
The full-length manuscript (either PDF file or MS word file) should be sent by March 31, 2018 to the office of Advanced Robotics, the Robotics Society of Japan through the homepage of Advanced Robotics.
Instructions for authors and sample form of the manuscript are available at the homepage.
Also, send another copy to Special Issue Guest Editor: Tetsunari Inamura for submission confirmation.
- Special Issue Guest Editor: Tetsunari Inamura, National Institute of Informatics, Japan (firstname.lastname@example.org)
- Special Issue Guest Editor: Hiroki Yokoyama, University of Tamagawa, Japan
- Special Issue Guest Editor: Emre Ugur, Bogazici University, Turkey
- Special Issue Guest Editor: Xavier Hinaut, INRIA, France
- Special Issue Guest Editor: Michael Beetz, University of Bremen, Germany
- Special Issue Guest Editor: Tadahiro Taniguchi, Ritsumeikan University, Japan