The IEEE Robotics & Automation Magazine will have a special issue on Emerging Advances and Applications in Automation. Contributions are solicited on state-of-the-art research and applications in the general area of automation, and, according to the nature of IEEE RAM, having solid and significant industrial and practical impacts. The goal is to bring together researchers and practitioners from both academia and industry, to present efficient scientific and engineering solutions, address the needs and challenges for integration with new technologies, and provide visions for future research and development. The issue will feature original, significant and visionary automation papers describing scientific methods and technologies with both solid theoretical development and practical importance. Papers that describe innovative work on abstractions, algorithms, theories, methodologies, models, systems, and case studies that can be applied across industries to significantly advance efficiency, quality, productivity, and reliability for society are welcome. In addition, participation from industry practitioners interested in integrating knowledge across disciplines is encouraged.
The topics include but are not limited to:
• Foundations of Automation;
• Automation in Life Sciences and Health Care;
• Automation in Meso, Micro and Nano-scale;
• Manufacturing Automation;
• Discrete Event Systems;
• Sustainable Production;
• Logistics and Supply Chain Management;
• Smart Buildings and Smart Cities;
• Emerging Topics in Automation.
RAM also considers multimedia material (typically, videos) accompanying the submission of a paper. Instructions on the preparation of this material can be found on www.ieee-ras.org/ram/for_authors. Multimedia will appear side-by-side to the accepted paper in the electronic version of the Special Issue within IEEE Xplore.
Call for papers - March 2014
Deadline for paper submission - 15 June 2014
First review - 15 September 2014
Final review - 15 November 2014
Publication - March 2015
Maria Fanti Politecnico di Bari, Dipartimento di Elettrotecnica ed Elettronica, Bari, Italy. email@example.com
Ken Goldberg University of California-Berkeley, IEOR and EECS School of Information. Berkeley California, United States. firstname.lastname@example.org
Yu Sun University of Toronto, Department of Mechanical and Industrial Engineering, Department of Electrical and Computer Engineering, Institute of Biomedical Engineering, Ontario (ON), Canada. email@example.com