Abbrevation
ISAIR
City
Kitakyushu
Country
Japan
Deadline Paper
Start Date
End Date
Abstract

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&#046; It is foreseeable that artificial intelligence will be the main approach of the next generation of robotic research&#046; The explosive number of artificial intelligence algorithms and increasing computational power of computers has significantly extended the number of potential applications for robotic technologies&#046; It has also brought new challenges to the artificial intelligence community&#046; The aim of this symposium is to provide a platform for young researchers to share up&#8211;to&#8211;date scientific achievements in this field&#046; Topics of interest include, but are not limited to:<br>Multimedia:<br>&#8211;Audio Multimedia Learning<br>&#8211;Cross Multimedia Learning<br>&#8211;Cloud Multimedia Processing for Robotics<br>&#8211;Deep Learning for Robot Vision<br>&#8211;HPC GPU for Deep Learning<br>&#8211;Multimedia for Robot Manipulation<br>&#8211;Multimedia for Robot Control<br>&#8211;Multimedia for Robot Navigation<br>&#8211;Multimedia Fusion for Robotics<br>&#8211;Multimedia Communications for Robots<br>&#8211;Multimedia Compression for Robots<br>&#8211;Object Retrieval<br>&#8211;Theoretical Foundations of Multimedia Learning<br>&#8211;User Experience for Multimedia Systems<br>&#8211;Wireless Multimedia Robots<br>Computer Vision:<br>&#8211;Theoretical Foundations of Artificial Intelligence and Computer Vision<br>&#8211;3D Scene Reconstruction<br>&#8211;RGB&#8211;D Vision<br>&#8211;Pattern Recognition and Machine Vision<br>&#8211;Computational Imaging<br>&#8211;Object Tracking<br>&#8211;Deep Learning for Computer Vision<br>&#8211;Big Data Analysis for Computer Vision<br>&#8211;Computer Vision for Ocean Observing<br>&#8211;Robot Calibration<br>&#8211;Vision&#8211;based Robotic Manipulation<br>Control:<br>&#8211;System Modeling and Simulation, Dynamics and Control<br>&#8211;Intelligent and Learning Control<br>&#8211;Robotics and Mechatronics<br>&#8211;Robust and Nonlinear Control<br>&#8211;Biomedical Systems and Control<br>