|Home| Program | Venue | Keynotes | Registration | Committee | Dates |

The 2nd International Symposium on Artificial Intelligence and Robotics 2017

November 25-26, 2017 Kitakyushu, Japan


New! MDPI Machines Journal provides “Best Award Money” to the winners of the selected good papers.

The integration of artificial intelligence and robotic technologies has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. It is foreseeable that artificial intelligence will be the main approach of the next generation of robotic research. The explosive number of artificial intelligence algorithms and increasing computational power of computers has significantly extended the number of potential applications for robotic technologies. It has also brought new challenges to the artificial intelligence community. The aim of this symposium is to provide a platform for young researchers to share up-to-date scientific achievements in this field. Topics of interest include, but are not limited to:

Audio Multimedia Learning
Cross Multimedia Learning
Cloud Multimedia Processing for Robotics
Deep Learning for Robot Vision
HPC GPU for Deep Learning
Multimedia for Robot Manipulation
Multimedia for Robot Control
Multimedia for Robot Navigation
Multimedia Fusion for Robotics
Multimedia Communications for Robots
Multimedia Compression for Robots
Object Retrieval
Theoretical Foundations of Multimedia Learning
User Experience for Multimedia Systems
Wireless Multimedia Robots

Computer Vision:
Theoretical Foundations of Artificial Intelligence and Computer Vision
3D Scene Reconstruction
RGB-D Vision
Pattern Recognition and Machine Vision
Computational Imaging
Object Tracking
Deep Learning for Computer Vision
Big Data Analysis for Computer Vision
Computer Vision for Ocean Observing
Robot Calibration
Vision-based Robotic Manipulation

System Modeling and Simulation, Dynamics and Control
Intelligent and Learning Control
Robotics and Mechatronics
Robust and Nonlinear Control
Biomedical Systems and Control

AI-based Vision Sensor
Medical Imaging
Tactile Sensor
Acoustic Sensor
Sensor Networks


Papers must be unpublished and must not be submitted for publication elsewhere. All papers will be reviewed by Program Committee members and other experts active in the field to ensure high quality and relevance to the conference. Submissions should include author information, abstract, 5-10 keywords, and be in PDF format. Each submission must not exceed 8 pages in the Springer publications format with 10 point font, including tables, figures and references. Template formatting is located at or ISAIR_sample_paper. The final version will be limited to 8 pages in Springer LNCS format for conference papers. Up to 2 extra pages may be purchased.

Each submission should be regarded as an undertaking that, should the submission be accepted, at least one of the authors must register the paper and attend the conference to present the work in order for the accepted paper to be submitted into the EI Compendex or Scopus index. Submission site (With EasyChair):

All of the accepted papers will be recommended to special issues in sustainability-related EI or SCI indexed journals.
Computers & Electrical Engineering (SCI, IF=1.084), Special Issue on Artificial Intelligence and Computer Vision
Multimedia Tools and Applications (SCI, IF=1.331), Special Issue on Big Multimedia Data in Robotics Applications
IEEE Access Journal (SCI, IF=1.270),Special Issue on Advanced Signal Processing Methods in Medical Imaging
ACM/Springer Mobile Networks & Applications (SCI, IF=1.538), Special Issue on Intelligent Industrial IoT Integration with Cognitive Computing
Mobile Networks and Applications (SCI, IF=1.538), Special Issue on Artificial Intelligence for Mobile Robotic Networks
Optics and Laser Technology (SCI, IF=1.897), Specil Issue on Optical Imaging for Extreme Environment
International Journal of Computational Science and Engineering (ESCI, EI), Regular Paper
International Journal of Embedded Systems (EI), Regular Paper


Dr. Huimin Lu, Kyushu Institute of Technology
Tel. :+81-93-884-3183

Media Partner