日本ロボット学会会員の皆様
本会欧文誌のAdvanced Roboticsにおいて、下記の通り、「ニューノーマルへのロボティクスの貢献」に関する緊急特集号が企画されました。ニューノーマルの質向上（Better QoNN）に資する、ロボティクス研究論文／提案を集め、評価します。Short Paper（3,500ワード以下）のみで、投稿締切は2月末です。皆様からのご投稿をお待ちしております！
---
Extra Special Issue on
Soft/Social/Systemic (3S) Robot Technologies
for enhancing Quality of New Normal (QoNN)
Coordinators:
Hiromi Mochiyama (University of Tsukuba, Japan)
Masaaki Nagahara (University of Kitakyushu, Japan)
Tadahiro Taniguchi (Ritsumeikan University, Japan)
Publication in Vol. 35, Issue 11 (June 2021)
Submission deadline: 28 February 2021
We are currently facing to adapt to the new normal for acting against COVID19 pandemic. Soft/Social/Systemic (3S) Robot Technologies have great potentials for enhancing Quality of New Normal (QoNN). In this special issue, we propose our positive actions in robotics against the current pandemic by collecting short/proposal papers on 3S Robot Technologies for enhancing QoNN.
We will receive only submissions in short paper format for publishing these research results and proposals in a timely manner. Submitted papers will be specially evaluated from the viewpoint of applicability for better QoNN.
Topics:
Soft Robotics, Haptics, Social Robots, Communication Robots, Wearable Technologies, Automation, Control of Multi-agent Systems, Cyber Physical Human Systems, Robotics over Networks, Machine Learning and Optimization for Robotics, Estimation and Control of Pandemics, Wireless Communications for Robotics, Telerobotics, Virtual Reality, Multi-agent Simulation, Digital Twin, and all topics shown in "Field of Interest" of Advanced Robotics.
Submission: The full-length manuscript (either PDF file or MS word file) should be sent by February 28, 2021 to the office of Advanced Robotics, the Robotics Society of Japan through the on-line submission system of the journal (https://www.rsj.or.jp/pub/ar/submission.html). Sample manuscript templates and detailed instructions for authors are available at the website of the journal.
---
配信元・問合先――――――――――――――――――――――――――――
望山 洋
筑波大学
motiyama@iit.tsukuba.ac.jp
