[robotics-worldwide] [journals] Call for Papers: Special Issue of Industrial Robots Journal on "Industrial Robot Agility" - Deadline February 1st

Schlenoff, Craig I. craig.schlenoff at nist.gov
Mon Jan 4 08:49:48 PST 2016

Call for Papers:
Special Issue of Emerald Insight Industrial Robot Journal
"Industrial Robot Agility"

Guest Editors:
Craig Schlenoff, National Institute of Standards and Technology (NIST), USA
Stephen Balakirsky, Georgia Tech Research Institute (GTRI), USA
Murad Kurwa, Flex, USA


Advances in automation have provided for sustained productivity increases and manufacturing growth. Continued sustainment of this growth will require automation to become more agile and flexible, allowing tasks that require a high degree of human dexterity and the ability to react to unforeseen circumstances to be automated. Applying robots is one promising approach, but their traditional program-by-teaching model takes considerable time and requires extensive expertise. This has kept them out of low-volume, time-critical projects. Off-line programming of robots is possible, similar to the computer-aided manufacturing (CAM) method widely used for machine tools. However, the poor accuracy of robots compared with machine tools limits them to jobs with undemanding tolerance requirements, or requires additional methods such as calibration, modeling, and external sensing to improve their accuracy. These methods increase the upfront cost of a robotic system. However, advances in sensing technologies (especially laser scanning) and cost reduction have brought them into the range of even small-to-medium enterprises.

The robotic systems of tomorrow need to be capable, flexible, and agile. These systems need to perform their duties at least as well as human counterparts, be quickly re-tasked to other operations, and cope with a wide variety of unexpected environmental and operational changes. To be successful, these systems need to combine domain expertise, knowledge of their own skills and limitations, and both semantic and geometric information.


Papers are solicited for this special issue on the following topics (or on related topics not listed below):

*         Robot agility through knowledge-based approaches

*         Human-robot and robot-robot collaboration

*         Hardware approaches to allow for robot agility

*         Planning approaches to enable robot agility

*         Knowledge-based robot control

*         Artificial intelligence techniques

*         Test methods to measure robot agility

*         Robot agility metrics

*         Advanced robot simulations

Submission Information:

We invite you to contribute with original manuscripts based on your research related to the above-mentioned topics to this upcoming special issue. If you are interested in submitting, please contact the managing guest editor at craig.schlenoff at nist.gov<mailto:craig.schlenoff at nist.gov> to express your intent.

Submission Deadline: February 1, 2016

Authors should submit at http://emeraldgrouppublishing.com/products/journals/author_guidelines.htm?id=ir. Please indicate that you are submitting to the "Industrial Robot Agility" special issue when prompted at the bottom of the "Details and Comments" tab.

Craig Schlenoff, Ph.D.
Group Leader, Cognition and Collaboration Group
Project Leader, Agility Performance for Robotic Systems Project
Chair, IEEE Ontologies for Robotics and Automation Standard Working Group
Intelligent Systems Division (ISD)
National Institute of Standards and Technology (NIST)
100 Bureau Drive, Stop 8230
Gaithersburg, MD 20899
P: 301-975-3456
F: 301-990-9688
E: craig.schlenoff at nist.gov

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