BRICS - Best practice in robotics
Conference: ISR/ROBOTIK 2010 - ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics)
06/07/2010 - 06/09/2010 at Munich, Germany
Proceedings: ISR/ROBOTIK 2010
Pages: 8Language: englishTyp: PDF
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Authors:
Bischoff, Rainer; Guhl, Tim (KUKA Roboter GmbH, Augsburg, Germany)
Prassler, Erwin; Nowak, Walter (GPS Gesellschaft für Produktionssysteme GmbH, Stuttgart, Germany)
Kraetzschmar, Gerhard (Bonn-Rhein-Sieg University of Applied Sciences, Bonn, Germany)
Bruyninckx, Herman; Soetens, Peter (Katholieke Universiteit Leuven, Leuven, Belgium)
Haegele, Martin; Pott, Andreas (Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., Stuttgart, Germany)
Breedveld, Peter (University of Twente, Twente, Netherlands)
Brugali, Davide (Università degli Studi di Bergamo, Bergamo, Italy)
Tomatis, Nicola (BlueBotics SA, Lausanne, Switzerland)
Abstract:
In the past, the process of developing a new robot application has had more of the design of a piece of artwork or of an act of ingenious engineering than of a structured and formalized process. The prime objective of BRICS is to structure and formalize the robot development process itself and to provide tools, models, and functional libraries, which allow reducing the development time by a magnitude. BRICS is working together with academic as well as industrial providers of robotics "components" (hardware and software), to identify and document best practices in the development of complex robotics systems, to refactor (together) the existing components in order to achieve a much higher level of reusability and robustness, and to support the robot development process with a structured tool chain and code repository. BRICS is a joint research project funded by the European Commission ICT Challenge 2 under grant number 231940. First results include the analysis of existing robot development processes, the first steps towards harmonizing robot control interfaces and component models and the set-up of robot systems for best practice analyses.