Welcome to ICRRI

ICRRI is a newly established international conference sponsored by Springer, IEEE SMCS Japan Chapter, IEEE SMCS Portsmouth Chapter, focusing on the advanced development of Intelligence in Robotics and Rehabilitation Engineering.

The ICRRI 2020 is organized by Liaoning Shihua University, co-organized by Shanghai Jiao Tong University, Shenyang University of Technology, University of Portsmouth, Tokyo Metropolitan University, Southern University of Science and Technology, Shenyang Institute of Automation, University of Science and Technology Liaoning, Shenyang Ligong University, Shenyang Aerospace University.

It is planned to publish the proceedings with Springer in their Communications in Computer and Information Science series, which is EI indexed (final approval is pending, dependent of the quality of papers). High-quality papers will be recommended for further review by journals such as Information and Control (信息与控制, http://www.xxykz.cn), Journal of Liaoning Shihua University (辽宁石油化工大学学报, http://journal.lnpu.edu.cn/EN/volumn/current.shtml), International Journal of Humanoid Robotics.

Click here to download the ICRRI 2020 Call-for-papers.

All papers should be submitted through the Springer online review system https://ocs.springer.com/ocs/home/ICRRI2020

Click here to download the ICRRI 2020 Special Session Proposal.

Conference themes include but are not limited to:

    • Human‐robot Interaction
    • Robotic Vision
    • Multi‐agent Systems and Control
    • Robot Intelligence and Learning
    • Robot Design and Control
    • Robot Motion Analysis and Planning
    • Medical Robot
    • Robot Locomotion
    • Mobile Robot and Navigation
    • Biomedical Signal Processing
    • Artificial Intelligence in Rehabilitation
    • Computational Intelligence in Rehabilitation
    • Systems, Modeling and Simulation in Rehabilitation
    • Neural and Rehabilitation Engineering
    • Wearable Rehabilitation Systems
    • Rehabilitation Education
    • Biomedical and Health Informatics
    • Policy on Healthcare Innovation and Commercialisation
    • Advanced Control Theory and Applications
    • Artificial Intelligence
    • Big Data
    • Optimisation Methods

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