Call for Papers

Before Submission, please refer to "Materials for Submission" and "Submit a Manuscript".

JRM Vol.31 No.4, Aug. 2019

Special Issue on “Machine Learning for Robotics and Swarm Systems”

Submission Deadline: January 20, 2019
Guest Editors: Prof. Masahito Yamamoto (Hokkaido University, Japan)
Prof. Takashi Kawakami (Hokkaido University of Science, Japan)
Prof. Keitaro Naruse (University of Aizu, Japan)
More details: JRMCFP_31-4.pdf
Submit papers: e-mail to email
Inquiry: JRM Contact form or e-mail to JRM Editorial Office

The special issue, “Machine Learning for Robotics and Swarm Systems,” is focused on machine learning techniques and its application to the field of robotics including swarm systems. Swarm systems were born in a field of robotics as a kind of distributed autonomous robotic systems with the concept of the emergent methodology for extremely redundant systems. They typically consist of homogeneous autonomous robots, similar to living animals that build swarms. Recently, machine learning, such as deep learning, has been more remarkable for controlling the behaviors of these robots in real world. The topics included in this special issue are not only recent advances of machine learning techniques and its applications in the field of robotics and swarm systems, but also the controlling mechanism for multi-robots, such as evolutionary computation or other soft computing methods. Proposals involving new ideas or methods in this field are also welcome.

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Last updated on Sep. 20, 2018