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Eriksson, Patric
Publications (8 of 8) Show all publications
Eriksson, P. & Karlsson, S. (2014). The University of Skövde and Gothia Science Park – an integrated approach. In: Arno Meerman; Thorsten Kliewe (Ed.), Fostering university industry relationships, entrepreneurial universities and collaborative innovation: (pp. 95-106). University Industry Innovation Network
Open this publication in new window or tab >>The University of Skövde and Gothia Science Park – an integrated approach
2014 (English)In: Fostering university industry relationships, entrepreneurial universities and collaborative innovation / [ed] Arno Meerman; Thorsten Kliewe, University Industry Innovation Network , 2014, p. 95-106Chapter in book (Other (popular science, discussion, etc.))
Abstract [en]

The University of Skövde and Gothia Science Park have over the last 13 years developed a strong environment for education, research and business, aligned with the profile of the University. The University and Science Park is located in a Swedish region with the majority of industry working in manufacturing with limited R&D and a with lower percentage of the population with higher education compared to Sweden in average. Explicit strategies and the operation of these have led to the development of an integrated innovation environment enabling new forms of university industry interactions, research, innovation processes and business development. The cooperation between the University and the Science Park organization take place on the strategic level, on the tactical level and on the operational level. The success of the case is characterized by strong commitment, the courage to select, openness and trust, organic growth and enthusiasm. The development has resulted in the University multiplying its research funding for projects with industry, The Gothia Business Incubator becoming one of the leading Swedish incubators and the science park growing into the regions third biggest workplace in trade and industry and one of the 10 largest science parks in Sweden.

Place, publisher, year, edition, pages
University Industry Innovation Network, 2014
Series
UIIN Good Practice Series
National Category
Educational Sciences Economics and Business
Identifiers
urn:nbn:se:his:diva-21960 (URN)978-94-91901-07-2 (ISBN)
Note

CC BY-NC-ND 3.0

Available from: 2022-10-14 Created: 2022-10-14 Last updated: 2023-04-28Bibliographically approved
Gustavsson, P. M., Hieb, M. R., Niklasson, L., Moore, P. & Eriksson, P. (2009). Formalizing operations intent and effects for network-centric applications. In: Ralph H. Sprague Jr. (Ed.), Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS: 5-8 January 2009 Waikoloa, Big Island, Hawaii. Paper presented at 42nd Annual Hawaii International Conference on System Sciences, HICSS,5-8 January 2009 Waikoloa, Big Island, Hawaii. IEEE Computer Society
Open this publication in new window or tab >>Formalizing operations intent and effects for network-centric applications
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2009 (English)In: Proceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS: 5-8 January 2009 Waikoloa, Big Island, Hawaii / [ed] Ralph H. Sprague Jr., IEEE Computer Society, 2009Conference paper, Published paper (Refereed)
Abstract [en]

A Network-Centric approach enables systems to be interconnected in a dynamic and flexible architecture to support multi-lateral, civilian and military missions. Constantly changing environments require commanders to plan for more flexible missions that allow organizations from various nations and agencies to join or separate from the teams performing the missions, depending on the situation. The uncertainty inherent in an actual mission, and the variety of potential organizations that support the mission after it is underway, makes Command Intent (CI) a critical concept for the mission team. Both humans and computerized decision support services need to have the ability to communicate and interpret a shared CI. This paper presents the Operations Intent and Effects Model (OIEM) - a model that relates CI to Effects, and supports both traditional military planning and Effects Based Operation. In the provided example the suggested Command and Control Language is used to express Operations Intent and Effects. © 2009 IEEE.

Place, publisher, year, edition, pages
IEEE Computer Society, 2009
Series
Proceedings of the Annual Hawaii International Conference on System Sciences, ISSN 1530-1605
Keywords
Changing environments, Command and controls, Computerized decisions, Effects-based operations, Flexible architectures, Military missions, Military planning, Network-centric applications, Network-centric approaches, TO effects, Decision support systems
National Category
Computer Sciences Computer Systems Production Engineering, Human Work Science and Ergonomics Other Mechanical Engineering
Identifiers
urn:nbn:se:his:diva-21951 (URN)10.1109/HICSS.2009.219 (DOI)2-s2.0-78650760258 (Scopus ID)978-0-7695-3450-3 (ISBN)
Conference
42nd Annual Hawaii International Conference on System Sciences, HICSS,5-8 January 2009 Waikoloa, Big Island, Hawaii
Available from: 2022-10-13 Created: 2022-10-13 Last updated: 2023-01-03Bibliographically approved
Gustavsson, P. M., Hieb, M., Eriksson, P., Moore, P. & Niklasson, L. (2008). Machine Interpretable Representation of Commander's Intent. In: Proceedings of the 13th International Command and Control Research and Technology Symposium (13th ICCRTS): . Paper presented at 13th International Command and Control Research and Technology Symposium (13th ICCRTS), 17-19 June 2008, Seattle, Washington, USA.
Open this publication in new window or tab >>Machine Interpretable Representation of Commander's Intent
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2008 (English)In: Proceedings of the 13th International Command and Control Research and Technology Symposium (13th ICCRTS), 2008Conference paper, Published paper (Refereed)
Abstract [en]

The Network-Centric approach envisioned in the Global Information Grid enables the interconnection of systems in a dynamic and flexible architecture to support multi-lateral, civilian and military missions. Constantly changing environments require commanders to plan for missions that allow organizations from various nations and agencies to join or separate from the teams performing the missions, depending on the situation, as missions unfold. The uncertainty within an actual mission, and the variety of potential organizations that support the mission after it is underway, makes Command Intent (CI) a critical concept for the mission team. With new and innovative information technologies, CI can now be made available to the team of organizations in a coalition environment. Using a flexible and linguistically based approach for representing CI allows Intent to be interpreted and processed by all participants – both humans and machines. CI representations need to be able to express mission team’s purpose, the anticipated End-State of the mission and desired key tasks. In this work, the expression of CI is developed to enable the structure and dynamics of collaboration support.

Keywords
Commander’s Intent, Decision Support, Planning, Battle Management Language
National Category
Information Systems, Social aspects Information Systems Other Computer and Information Science Computer Sciences Communication Studies Production Engineering, Human Work Science and Ergonomics Other Mechanical Engineering
Identifiers
urn:nbn:se:his:diva-21959 (URN)
Conference
13th International Command and Control Research and Technology Symposium (13th ICCRTS), 17-19 June 2008, Seattle, Washington, USA
Available from: 2022-10-14 Created: 2022-10-14 Last updated: 2023-01-03Bibliographically approved
Urenda Moris, M., Eriksson, P. & De Vin, L. (2004). Introducing discrete event simulation for decision support in the Swedish health care system. In: : . Paper presented at International Conference on Health Sciences Simulation (ICHSS'04), Part of the 2004 Western Simulation MultiConference, San Diego, California, USA, January 18-21, 2004.
Open this publication in new window or tab >>Introducing discrete event simulation for decision support in the Swedish health care system
2004 (English)Conference paper, Published paper (Other academic)
Identifiers
urn:nbn:se:his:diva-1784 (URN)
Conference
International Conference on Health Sciences Simulation (ICHSS'04), Part of the 2004 Western Simulation MultiConference, San Diego, California, USA, January 18-21, 2004
Available from: 2007-06-08 Created: 2007-06-08 Last updated: 2021-06-02Bibliographically approved
Solding, P., Eriksson, P. & De Vin, L. (2003). Discrete event simulation in operational production planning: an outline. In: Matthew Cotterell (Ed.), Knowledge Driven Manufacturing: Proceedings of the 20th International Manufacturing Conference IMC20 3rd to 5th September 2003. Paper presented at 20th International Manufacturing Conference, IMC20, Knowledge driven manufacturing, 3rd to 5th September 2003, Cork, Ireland (pp. 181-187). Cork: Cork Institute of Technology Press
Open this publication in new window or tab >>Discrete event simulation in operational production planning: an outline
2003 (English)In: Knowledge Driven Manufacturing: Proceedings of the 20th International Manufacturing Conference IMC20 3rd to 5th September 2003 / [ed] Matthew Cotterell, Cork: Cork Institute of Technology Press , 2003, p. 181-187Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Cork: Cork Institute of Technology Press, 2003
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design
Identifiers
urn:nbn:se:his:diva-1763 (URN)0-9545736-0-9 (ISBN)978-0-9545736-0-7 (ISBN)
Conference
20th International Manufacturing Conference, IMC20, Knowledge driven manufacturing, 3rd to 5th September 2003, Cork, Ireland
Available from: 2007-06-08 Created: 2007-06-08 Last updated: 2021-06-02Bibliographically approved
Ujvari, S., Eriksson, P., Moore, P. & Pu, J. (1998). Simulation and emulation of sensor systems for intelligent vehicles. In: Josef Adolfsson; Jeanette Karlsén  (Ed.), Mechatronics '98: Proceedings of the 6th UK Mechatronics Forum International Conference, Skövde, Sweden, 9-11 September 1998. Paper presented at 6th UK Mechatronics Forum International Conference, Skövde, Sweden, 9-11 September 1998 (pp. 385-390). Pergamon Press (6th UK Mechatronics Forum International Conference)
Open this publication in new window or tab >>Simulation and emulation of sensor systems for intelligent vehicles
1998 (English)In: Mechatronics '98: Proceedings of the 6th UK Mechatronics Forum International Conference, Skövde, Sweden, 9-11 September 1998 / [ed] Josef Adolfsson; Jeanette Karlsén , Pergamon Press, 1998, no 6th UK Mechatronics Forum International Conference, p. 385-390Conference paper, Published paper (Refereed)
Abstract [en]

Simulation of sensor systems for mobile robots are described in this paper. By simulation of smart sensor systems, the performance of semi-autonomous vehicles / mobile robots can be enhanced. Smart sensor systems used in the field of mobile robotics can utilise adaptive algorithms. e. g. artificial neural nets, fuzzy logic or hybrid variants of these systems. The development, training and evaluation of adaptive algorithms for sensor systems can be done within a virtual environment in which graphical models are built to simulate an intelligent vehicle, its sensors, and its environment. The virtual sensors are validated by comparing the characteristics of the virtual sensors with those of the real devices.

Place, publisher, year, edition, pages
Pergamon Press, 1998
National Category
Robotics Embedded Systems Computer Sciences Computer Engineering Control Engineering
Identifiers
urn:nbn:se:his:diva-21955 (URN)10.1016/B978-008043339-4/50062-6 (DOI)0-08-043339-1 (ISBN)
Conference
6th UK Mechatronics Forum International Conference, Skövde, Sweden, 9-11 September 1998
Available from: 2022-10-13 Created: 2022-10-13 Last updated: 2022-11-10Bibliographically approved
Eriksson, P. T. (1996). Enhancements in virtual robotics: Through simulation of sensors, events and 6pre-emptive' learning. (Doctoral dissertation). De Montfort University
Open this publication in new window or tab >>Enhancements in virtual robotics: Through simulation of sensors, events and 6pre-emptive' learning
1996 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Virtual robotics can be used to dramatically improve the capabilities and performance of industrial robotic systems. Virtual robotics encapsulates graphical off-line programming systems and Computer Aided Robotics (CAR). However current virtual robotic tools suffer from a number of major limitations which severely restrict the ways in which they can be deployed and the performance advantages they offer to the industrial user. The research study focuses on simulation of sensors, programming of event based robotic systerns and demonstrates how intelligent robots can be trained adaptive behaviours in virtual environments. Contemporary graphical programming systems for robots can only be used to program limited sections of a robot program, since i) they do not support methods for the simulation of sensors and event detection; ii) they normally use a post-processor to translate programs from a general language to a controller specific language; iii) conternporary robots can not easily adapt to changes in their environments; and iv) robot programs created off-line must be calibrated to adjust to differences between the virtual and real robotic workcells.

The thesis introduces a generic sensor model which can be used to model a variety of sensor types. This model allows virtual sensors to work as independent devices. It is demonstrated that using simulated sensors, event-based robot programs can be created and debugged entirely off-line. Off-line programming of event-based robotic systems demands methods for realistic handling of the communication between independent devices and process. The system must also possess the ability to manage and store information describing status and events in the environment. A blackboard architecture has been used in this research study to store environmental conditions and manage inter-process communication.

Self-learning robots is a possible strategy to allow robots to adapt to environmental changes and to learn from their experience. If suitable learning regimes are developed robots can learn to detect changes between virtual and real environments thus minimising the need for calibration. Most learning is based on experience and this requires experimental data to be fed to the learning system. This thesis demonstrates that robot controllers using artificial neural networks for knowledge acquisition and storage can be 'pre-emptively learnt' in virtual robotic environments using virtual robots and simulated sensors. The controllers are able to generalise from the information acquired by the virtual sensors operating in the virtual environment. Arguably the biggest obstacle to the use of self learning robotic systems in real applications has been the need to train the 'real robots' extensively in the 'real environment'. 'Pre-emptive learning' removes this problem. Furthermore, it is therefore possible to develop and evaluate new learning regimes using virtual robotic systems. This approach provides an opportunity to create a variety of environments and conditions which would be impractical to create in a real environment (due to constraints of time, cost and availability). 

Place, publisher, year, edition, pages
De Montfort University, 1996
National Category
Information Systems Robotics Software Engineering
Identifiers
urn:nbn:se:his:diva-21961 (URN)
Supervisors
Note

PhD

The thesis is submitted in partial fulfillment of the requirements for the award

The degree is awarded by the De Montfort University, School of Engineering and Manufacture, Sponsoring Establishment: University of Skövde October 1996

Available from: 2022-10-14 Created: 2022-10-14 Last updated: 2022-10-14Bibliographically approved
Eriksson, P. & Moore, P. (1995). A role for 'sensor simulation' and 'pre-emptive learning' in computer aided robotics. In: 26th International Symposium on Industrial Robots, Symposium Proceedings: Competitive automation: new frontiers, new opportunities. Paper presented at 26th International Symposium on Industrial Robots - Competitive Automation: New Frontiers, New Opportunities, 4-6 October, 1995, Singapore (pp. 135-140). Mechanical Engineering Publ.
Open this publication in new window or tab >>A role for 'sensor simulation' and 'pre-emptive learning' in computer aided robotics
1995 (English)In: 26th International Symposium on Industrial Robots, Symposium Proceedings: Competitive automation: new frontiers, new opportunities, Mechanical Engineering Publ. , 1995, p. 135-140Conference paper, Published paper (Refereed)
Abstract [en]

Sensor simulation in Computer Aided Robotics (CAR) can enhance the capabilities of such systems to enable off-line generation of programmes for sensor driven robots. However, such sensor simulation is not commonly supported in current computer aided robotic environments. A generic sensor object model for the simulation of sensors in graphical environments is described in this paper. Such a model can be used to simulate a variety of sensors, for example photoelectric, proximity and ultrasonic sensors. Tests results presented here show that this generic sensor model can be customised to emulate the characteristics of the real sensors. The preliminary findings from the first off-line trained mobile robot are presented. The results indicate that sensor simulation within CARs can be used to train robots to adapt to changing environments.

Place, publisher, year, edition, pages
Mechanical Engineering Publ., 1995
National Category
Robotics Computer Sciences Embedded Systems Computer Vision and Robotics (Autonomous Systems) Other Computer and Information Science
Identifiers
urn:nbn:se:his:diva-21956 (URN)A1995BE97F00022 ()1-86058-000-9 (ISBN)
Conference
26th International Symposium on Industrial Robots - Competitive Automation: New Frontiers, New Opportunities, 4-6 October, 1995, Singapore
Available from: 2022-10-13 Created: 2022-10-13 Last updated: 2022-10-17Bibliographically approved
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