Special Issue on: "Learning for Robotics"
Dr. Huimin Lu, Kyushu Institute of Technology, Japan
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 the 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 special issue is to provide a platform to share up-to-date scientific achievements in this field.
The issue will carry revised and substantially extended versions of selected papers presented at The 1st International Workshop on Artificial Intelligence and Robotics (AIR2016), but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.
Suitable topics include, but are not limited to, the following:
- Multimedia processing for robotics
- Deep learning for robot vision
- Big data analysis for computer vision
- Intelligent and learning control
- Robust and nonlinear control
- Robot calibration
- Vision-based robotic manipulation
- HPC GPU for deep learning
Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process.
All papers must be submitted online. To submit a paper, please read our Submitting articles page.
Manuscripts due by: 30 January, 2017
Notification to authors: 30 March, 2017
Final versions due by: 15 May, 2017