Intelligent semi-autonomous vehicles in materials handling |
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| Affiliation: | 1. Mechatronics Research Group, Faculty of Computing Sciences and Engineering, De Montfort University, Leicester, LE1 9BH, UK;2. Centre for Intelligent Automation, Department of Engineering Science, Högskolan Skövde, S-541 28, Skövde, Sweden;3. Volvo Automation, Engine Automation, SE-541 87, Skövde, Sweden;1. Louisville Metabolic and Atherosclerosis Research Center Inc., Louisville, KY, USA;2. Global Medicines Development, CVMD, AstraZeneca, Gothenburg, Sweden;3. Systems Biology Research Center, School of Bioscience, University of Skövde, Skövde, Sweden;4. Biometrics and Information Sciences, AstraZeneca, Gaithersburg, MD, USA;5. Department of Medicine, NYU School of Medicine & NYU Center for Prevention of Cardiovascular Disease, New York, NY, USA;1. Department of Crop Production and Plant Breeding, College of Agriculture, Shiraz University, Shiraz, Iran;2. Systems Biology Research Centre, School of Life Sciences, University of Skövde, Skövde, Sweden;3. Alumnus from Saarland University, Department of Informatics, Saarbrucken, Germany;4. Discipline of Genetics, School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, SA, Australia;1. Department of Metallurgy Engineering, College of Material Science & Engineering, Chongqing University, Chongqing 400044, China;2. Chongqing Materials Research Institute, Chongqing 400707, China;1. Faculty of Pharmaceutical Sciences, Setsunan University, 45-1 Nagaotoge-cho, Hirakata, Osaka 573-0101, Japan;2. Pharmaceutical Business Division, Sumika Chemical Analysis Service, Ltd., 1-135, Kasugade-naka 3-chome, Konohana-ku, Osaka 554-0022, Japan |
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| Abstract: | An increase in functionality of semi-autonomous vehicles (SAV) through the implementation of intelligent distributed control and smart sensing techniques is presented. In combination with a modular design approach, this facilitates system modification and improvement, combined with faster customisation of the platform. A distributed and reactive behavioural control architecture is used to realise local autonomous navigation capabilities; improved operator interaction; self protection and safer operation. A virtual engineering environment based on a computer-aided-graphics platform is used (1) for modelling the vehicle and the environment in which it can operate; (2) developing pre-emptive learning and training of responses/behaviours, and (3) for evaluation of vehicle functionality as part of an integrated materials handling system. |
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