Publications related to Fawkes

Knowledge-Based Instrumentation and Control for Competitive Industry-Inspired Robotic Domains

In KI - K√ľnstliche Intelligenz, Vol. 30, Issue 3, pp. 289-299

Authors: Tim Niemueller, Sebastian Zug, Sven Schneider, Ulrich Karras
Type: Article in Journal
Publication Date: August 2016
Download: industrial-refbox-ki2016-10.pdf
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Abstract: Autonomy is an increasing trend in manufacturing industries. Several industry-inspired robotic competitions have been established in recent years to provide testbeds of comprehensible size. In this paper, we describe a knowledge-based instrumentation and control framework used in several of these competitions. It is implemented using a rule-based production system and creates the task goals for autonomous mobile robots. It controls the environment's agency using sensor data from processing stations and instructs proper reactions. The monitoring and collection of various data allows for an effective instrumentation of the competitions for evaluation purposes. The goal is to achieve automated runs with no or as little human intervention as possible which would allow for more and longer lasting runs. It provides a general framework adaptable to suit many scenarios and is an interesting test case for knowledge-based systems in an industry-inspired setting.

Notes: The RoboCup Industrial Referee Box (and its predecessor RoboCup Logistics League Referee Box) are based on the Fawkes architecture and core libraries.

BibTeX
@Article{knowledge-based-instrumentation-ki2016-10-2016,
  title =	{{Knowledge-Based Instrumentation and Control for Competitive Industry-Inspired Robotic Domains}},
  author =	{Tim Niemueller and Sebastian Zug and Sven Schneider and Ulrich Karras},
  journal =	{KI - K√ľnstliche Intelligenz},
  year =	{2016},
  month =	{August},
  volume =	{30},
  series =	{3},
  pages =	{289-299},
}