神戸大学の田崎と申します．
この度，Advanced Roboticsにて「Online Motion Planning and Model Predictive Control」特集を企画しました．
様々な種類のロボットのオンライン動作計画やモデル予測制御に関する新手法や応用研究に関する論文を幅広く募集します．
投稿締め切り 2022/5/30
詳細は以下をご覧ください．
特集号ウェブページ https://think.taylorandfrancis.com/special_issues/online-motion-planning-model-predictive-control/?utm_source=TFO&utm_medium=cms&utm_campaign=JPG15743
学会CFP https://www.rsj.or.jp/pub/ar/call.html
是非，ご投稿をご検討ください．
---
Special Issue on Online Motion Planning and Model Predictive Control
Co-Editors: Dr. Yuichi Tazaki (Kobe University, Japan)
Dr. Kensuke Harada (Osaka University, Japan)
Dr. Masaki Murooka (AIST, Japan)
Dr. Adrien Escande (CNRS-AIST JRL, IRL, France/Japan)
Publication in Vol. 37, Issue 5 (March 2023)
SUBMISSION DEADLINE: 30 May 2022
Motion planning has been an active field of robotics research for decades. Moreover, thanks to the rapid improvement of computation power, model predictive control, which performs trajectory optimization inside the real-time control loop, has become a practical solution for robot control. Today, robots are requested to perform various complex tasks in dynamic environments, sometimes in cooperation with humans. This ever-growing demand has raised a number of new research topics such as multi-contact motion planning, failure detection and replanning. In this special issue, we are inviting readers to submit papers on motion planning, model predictive control, and their applications. The interest topic of this special issue include:
? Motion planning and trajectory generation of various types of robots (e.g., humanoids, mobile robots)
? Motion planning for robotic manipulation and assembly, multi-contact motion planning
? Linear, nonlinear, and stochastic model predictive control
? Optimization algorithms for motion planning and model predictive control
? Integration of motion planning with perception and control, failure detection and replanning
配信元・問合先――――――――――――――――――――――――――――
田崎勇一
神戸大学
tazaki@mech.kobe-u.ac.jp
0788036115