Relevant bibliographies by topics / Automated factories

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automated factories'

Author: Grafiati
Published: 29 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Automated factories"

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Swinbanks, David. "Automated factories ahead." Nature 357, no. 6374 (May 1992): 100. http://dx.doi.org/10.1038/357100b0.

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Jon‐Chao, Hong, Wu Jinn‐Cherng, and Wu Ming‐Hsiung. "Supervisor skill formation in Taiwan’s automated factories." Work Study 45, no. 2 (April 1996): 22–26. http://dx.doi.org/10.1108/00438029610110401.

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HOSHI, Takehiko, Toshiaki OKANO, Tetsuo SEKIYAMA, and Masamoto TAKATSUJI. "Development of plant transportation system for automated plant factories." Shokubutsu Kojo Gakkaishi 6, no. 1 (1994): 15–22. http://dx.doi.org/10.2525/jshita.6.15.

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Chang, Paul, Diana Kaledina, Anatoly Popovich, and Andrey Volkov. "Factories of the future: operation and perspectives of development." SHS Web of Conferences 44 (2018): 00022. http://dx.doi.org/10.1051/shsconf/20184400022.

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The role of automation in industrial development was highlighted. We discussed the significance of automation for creating the factory of the future. We presented the basic criteria of efficiency of automated factories. We analyzed the experience of creating automated factories, indicated the basic scientific-technical problems related to automation of production and suggested the ways to overcome them. We listed the basic factors of scientific-technical progress that should be the basis for automation of production and indicated its basic elements. We showed the role of technological equipment, tools and accessories. We analyzed the results of state support of industry.
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Beier, Herbert. "AZR — A new approach to shop-floor management for automated and non-automated factories." Computers in Industry 6, no. 6 (December 1985): 427–33. http://dx.doi.org/10.1016/0166-3615(85)90024-7.

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Lee, Chien-Liang, Yen-Po Wang, and Ray Kai Leung Su. "Assessment of vibrations induced in factories by automated guided vehicles." Proceedings of the Institution of Civil Engineers - Structures and Buildings 166, no. 4 (April 2013): 182–96. http://dx.doi.org/10.1680/stbu.11.00036.

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Suryanarayanan, R., and V. Sridhar. "Future Factories – Automated Welding Cell based on Cloud Computing Technology." EAI Endorsed Transactions on Cloud Systems 4, no. 13 (December 7, 2018): 155883. http://dx.doi.org/10.4108/eai.16-5-2018.155883.

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Tanigawa, Tohru, Toshitsugu Sawai, and Tadashi Nakao. "High Precision Automatic Alignment and its Computer Vision Technology." Journal of Robotics and Mechatronics 1, no. 3 (October 20, 1989): 220–26. http://dx.doi.org/10.20965/jrm.1989.p0220.

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Recently, industrial robotics and computer vision technology has become very important in flexible manufacturing systems and automated factories. Especially high precision automatic alignment technology beyond human ability is essential to some manufactures, and its application fields are extending rapidly. This paper describes the high precision automatic alignment system of large-sized LCD panels. The features of the system are (1) high precision and high speed detection of position using the special alignment mark, (2) high contrast image obtained by the use of ultraviolet rays, (3) new image-processing algorithms for improvement of system reliability.
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Lu, Shaoping, Chen Xu, Ray Y. Zhong, and Lihui Wang. "A RFID-enabled positioning system in automated guided vehicle for smart factories." Journal of Manufacturing Systems 44 (July 2017): 179–90. http://dx.doi.org/10.1016/j.jmsy.2017.03.009.

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Baydar, Cem M., and Kazuhiro Saitou. "Prediction and Diagnosis of Propagated Errors in Assembly Systems Using Virtual Factories." Journal of Computing and Information Science in Engineering 1, no. 3 (August 1, 2001): 261–65. http://dx.doi.org/10.1115/1.1411966.

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Large-scale automated assembly systems are widely used in automotive, aerospace and consumer electronics industries to obtain high quality products in less time. However, one disadvantage of these automated systems is that they are composed of too many working parameters. Since it is not possible to monitor all these parameters during the assembly process, an undetected error may propagate and result in a more critical detected error. In this paper, a unique way of detecting and diagnosing these types of failures by using Virtual Factories is discussed. A Virtual Factory was developed by building and linking several software modules to predict and diagnose propagated errors. A multi-station assembly system was modeled and a previously discussed “off-line prediction and recovery” method was applied. The obtained results showed that this method is capable of predicting propagated errors, which are too complex to solve for a human expert.
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Dissertations / Theses on the topic "Automated factories"

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Winck, Ryder Christian. "Fabric control for feeding into an automated sewing machine." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28205.

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Musleh, Maath. "Visual Analysis of Industrial Multivariate Time-Series Data : Effective Solution to Maximise Insights from Blow Moulding Machine Sensory Data." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105253.

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Developments in the field of data analytics provides a boost for small-sized factories. These factories are eager to take full advantage of the potential insights in the remotely collected data to minimise cost and maximise quality and profit. This project aims to process, cluster and visualise sensory data of a blow moulding machine in a plastic production factory. In collaboration with Lean Automation, we aim to develop a data visualisation solution to enable decision-makers in a plastic factory to improve their production process. We will investigate three different aspects of the solution: methods for processing multivariate time-series data, clustering approaches for the sensory-data cultivated, and visualisation techniques that maximises production process insights. We use a formative evaluation method to develop a solution that meets partners' requirements and best practices within the field. Through building the MTSI dashboard tool, we hope to answer questions on optimal techniques to represent, cluster and visualise multivariate time series data.
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Kalibjian, J. R., T. J. Voss, and J. J. Yio. "Automated Application of Calibration Factors on Telemetered Data." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/608881.

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International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada
A long standing problem in telemetry post processing is the application of correct calibration factors to telemetered data generated on a system which has had a history of hardware changes. These calibration problems become most exacerbated when old test data is being examined and there is uncertainty as to hardware configuration at the time of the test. In this paper a mechanism for introducing a high degree of reliability in the application of calibration factors is described in an implementation done for Brilliant Pebbles Flight Experiment Three (FE-3).
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Holden, Jeffrey. "A STUDY OF SEMI-AUTOMATED TRACING." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/574.

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Requirements tracing is crucial for software engineering practices including change analysis, regression testing, and reverse engineering. The requirements tracing process produces a requirements traceability matrix(TM) which links high- and low-level document elements. Manually generating a TM is laborious, time consuming, and error-prone. Due to these challenges TMs are often neglected. Automated information retrieval(IR) techniques are used with some efficiency. However, in mission- or safety-critical systems a human analyst is required to vet the candidate TM. This introduces semi-automated requirements tracing, where IR methods present a candidate TM and a human analyst validates it, producing a final TM. In semi-automated tracing the focus becomes the quality of the final TM. This thesis expands upon the research of Cuddeback et al. by examining how human analysts interact with candidate TMs. We conduct two experiments, one using an automated tracing tool and the other using manual validation. We conduct formal statistical analysis to determine the key factors impacting the analyst’s tracing performance. Additionally, we conduct a pilot study investigating how analysts interact with TMs generated by automated IR methods. Our research statistically confirms the finding of Cuddeback et al. that the strongest impact on analyst performance is the initial TM quality. Finally we show evidence that applying local filters to IR results produce the best candidate TMs.
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Bass, Ellen J. "Human-automated judgment learning : a research paradigm based on interpersonal learning to investigate human interaction with automated judgments of hazards." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/25498.

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Louw, Tyron Linton. "The human factors of transitions in highly automated driving." Thesis, University of Leeds, 2017. http://etheses.whiterose.ac.uk/17148/.

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The aim of this research was to investigate the nature of the out-of-the-loop (OoTL) phenomenon in highly automated driving (HAD), and its effect on driver behaviour before, during, and after the transition from automated to manual control. The work addressed questions relating to how automation affects drivers' (i) performance in transition situations requiring control- and tactical-level responses, (ii) their behaviour in automation compared to in manual driving, (iii-iv) their visual attention distribution before and during the transition, as well as (v) their perceptual-motor performance after resuming control. A series of experiments were developed to take drivers progressively further OoTL for short periods during HAD, by varying drivers' secondary task engagement and the amount of visual information from the system and environment available to them. Once the manipulations ended, drivers were invited to determine a need to resume control in critical and non-critical vehicle following situations. Results showed that, overall, drivers looked around more during HAD, compared to manual driving, and had poorer vehicle control in critical transition situations. Generally, the further OoTL drivers were during HAD, the more dispersed their visual attention. However, within three seconds of the manipulations ending, the differences between the conditions resolved, and in many cases, this was before drivers resumed control. Differences between the OoTL manipulations emerged once again in terms of the timing of drivers' initial response (take-over time) in critical events, where the further OoTL drivers were the longer it took them to resume control, but there was no difference in the quality of the subsequent vehicle control. Results suggest that any information presented to drivers during automation should be placed near the centre of the road and that kinematically early avoidance response may be more important for safety than short take-over times. This thesis concludes with a general conceptualisation of the relationship between a number of driver and vehicle/environment factors that influence driver performance in the transition.
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Machado, Kayla L. "Management factors affecting calf growth and health." Thesis, Virginia Tech, 2011. http://hdl.handle.net/10919/76914.

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Two calf feeding trends are emerging in the dairy industry in the United States. Large herds often find it economical to feed pasteurized waste milk; while smaller herds are embracing technological advancements by utilizing automated calf milk feeders. Housing of calves varies depending on feeding mechanism. Calves fed using autofeeders are grouped together but large herds often find it more labor efficient to house calves individually in elevated wooden crates or polyethylene hutches. Two studies were conducted. The objective of the first field study was to evaluate the influence of diet and housing type on growth and morbidity in 84 Holstein heifer calves in a 2 by 2 factorial experimental design. Calves were housed in either polyethylene hutches or elevated wooden crates with slatted floors. Diets consisted of pasteurized waste milk or the same waste milk supplemented to provide approximately 454 g of milk replacer solids containing 25% protein and 10% fat (LOL Balancer). Calves were randomly placed in 1 of 4 treatment groups 48 h after birth and monitored until weaning (~60 d of age). Body weights and hip heights were measured at time of enrollment and weaning. Milk samples of pasteurized waste milk were obtained five times weekly to measure standard bacteriological plate count, fat, protein and total solids content. All calves were fed 3.3 L of liquid diet via bottle at 0730 and 1530 h. Calves were monitored daily for respiratory and digestive illness and treated according to established protocols. Pasteurized waste milk contained 332,171 ° 733,487 cfu/ mL, 3.51 ° 0.59% fat, 3.13 ° 0.30% protein, and 11.64 ° 1.05% total solids. Housing (P = 0.02) and diet (P = 0.01) affected weight gain, but there was no interaction. Least squares average daily gain for crate and hutches were 0.52 ° 0.024 and 0.59 ° 0.024 kg/d. Least squares average daily gain for waste milk and balancer diets were 0.52 ° 0.024 and 0.60 ° 0.024 kg/d, respectively. Housing or diet did not affect hip height growth/d (0.196 ° 0.007 cm). Health of the calves was not affected by diet or housing. Supplementing waste milk with balancer or housing calves in hutches resulted in higher weight gain. The objective of the second study was to evaluate management, and sanitation and consistency of liquid delivered to calves via automated feeders. Ten herds in Virginia and North Carolina with sophisticated (Förster-Technik, Germany) and basic (Biotic Industries Inc., TN, USA) machines completed a 60-question survey concerning calf and autofeeder management. Duplicate milk replacer samples were obtained to measure sanitation, dry matter, and temperature of milk in the autofeeder at the time of the survey. Six dairies from the original 10 were visited monthly for 3 mo for continued evaluation of sanitation, dry matter, and temperature of milk replacer from the autofeeder. Seven herds utilizing basic machines had a mean SPC of 6,925,000 ° 7,371,000 cfu/ml. The mean dry matter and temperature readings were 12.0 ° 2.1 Brix and 38.8 ° 6.7 °C, respectively. Three dairies that used sophisticated autofeeders had a mean SPC of 1,339,000 ° 2,203,000 cfu/ml. Mean dry matter and temperature readings were 10.37 ° 1.68 Brix and 38.6 ° 6.76°C, respectively. Dairies were also categorized based on management strategies. Producers that purchased autofeeders to manipulate feeding rates, refocus labor to sanitation, and care and well-being of calves, or for technological advancements were successful at rearing calves via autofeeders. Dairy producers who purchased an autofeeder to explore feeding options were not as successful because proper time and management was not dedicated to care of calves or to maintenance of the autofeeder.
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Sanchez, Julian. "Factors that affect trust and reliance on an automated aid." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-03302006-115459/.

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Thesis (Ph. D.)--Psychology, Georgia Institute of Technology, 2006.
Ute Fischer, Committee Member ; Jerry R. Duncan, Committee Member ; Gregory Corso, Committee Member ; Wendy A. Rogers, Committee Member ; Arthur D. Fisk, Committee Chair.
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Lee, Lisa Meredith. "Factors affecting accuracy ratings of an automated adolescent MMPI report /." Norfolk, Va. : Lee, 1989.

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Barg-Walkow, Laura Hillary. "Understanding the role of expectations on human responses to an automated system." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52909.

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As automation becomes increasing ubiquitous, it is important to know how differences in introducing automated systems will affect human-automation interactions. There are two main ways of introducing expected reliability of an automated system to users: explicitly telling operators what to expect or giving operators experience using the system. This study systematically investigated the effect of expectation format initially and over time on: 1) perceptions of reliability and system usage, and 2) human responses to automation (e.g., compliance, reliance, and overall dependence). Initially, there was an effect of expected level for explicit statement groups, whereas there was no effect of expected level for initial exposure groups. Over time, explicit statement groups had more stable perceptions of system reliability than the initial exposure groups. In general, perceived reliability did not converge to actual system reliability (75%) by the end of the study. Additionally, perceived reliability had a weak, but positive relationship with actual system use, whereas perceptions of system use (e.g., perceived dependence) had a strong, but negative relationship with actual system use. Outside of initial effects seen with perceived reliability, there were few initial differences between expectation formats. Almost all groups tended to initially comply more than rely, with the exception of the initial exposure – lower-than group. Over time, level of expectation for initial exposure groups influenced reliance. There were no differences between expectation groups on compliance and dependence over time. In general, dependence and compliance increased or stayed the same as time using the system increased. This pattern was also seen with reliance, with the exception of the initial exposure - higher-than group decreasing reliance over time. Results from this study have implications for both theory and practice. The research findings both support and augment the existing conceptual model of automation. A better understanding of the differential effects of expectation format and introduced level of expectations can lead to introductions of automated systems that are best suited to the system’s goals, ultimately improving system performance.
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Books on the topic "Automated factories"

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Kale, Clyde O. Industrial circuits and automated manufacturing. New York: Saunders College Pub., 1989.

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Bereiter, Susan R. Troubleshooting and human factors in automated manufacturing systems. Park Ridge, N.J., U.S.A: Noyes Data Corp., 1989.

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AGMET (Subgroup on Automatic Weather Recording). Automatic weather recording. [Dublin]: AGMET, 1987.

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Fisher, Donald L., William J. Horrey, John D. Lee, and Michael A. Regan, eds. Handbook of Human Factors for Automated, Connected, and Intelligent Vehicles. Boca Raton, FL : CRC Press, 2020.: CRC Press, 2020. http://dx.doi.org/10.1201/b21974.

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Brunelli, F. A.G. FA.CO.D.: Automatic Generator for Factorial and composite Design. Luxembourg: Commission of the European Communities, 1986.

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Jennings, Janine Margaret. Age-related changes in automatic and consciously-controlled memory processes. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1996.

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Massé, Pierrette. Factors affecting the performance of organizations and automated office information systems: Literature review. Laval, Québec: Canadian Workplace Automation Research Centre, 1992.

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1953-, Karwowski Waldemar, Parsaei H. R, and Wilhelm Mickey R, eds. Ergonomics of hybrid automated systems I: Proceedings of the First International Conference on Ergonomics of Advanced Manufacturing and Hybrid Automated Systems, Louisville, Kentucky, U.S.A., August 15-18, 1988. Amsterdam: Elsevier, 1988.

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Hammer, John M. Pilot interaction with automated airborne decision making systems: Final report. Moffett Field, CA: NASA Ames Research Center, 1990.

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Baber, Christopher. The human factors of automatic speech recognition in control room systems. Birmingham: Aston University. Aston Business School, 1990.

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Book chapters on the topic "Automated factories"

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Sylla, Cheickna. "Preventive Maintenance Scheduling in Automated Factories." In CAD/CAM Robotics and Factories of the Future, 365–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52320-5_61.

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Radharamanan, R., and Hong Shen. "Digital Image System Software for Automated Part Identification." In Robotics and Factories of the Future ’87, 556–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73890-6_67.

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Eversoll, R. I., H. T. Leeper, and L. T. Ross. "Automated Manufacturing at Western Kentucky University." In CAD/CAM Robotics and Factories of the Future ’90, 1205–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-85838-3_161.

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Eversoll, R. I., H. T. Leeper, and L. T. Ross. "Automated Manufacturing at Western Kentucky University." In CAD/CAM Robotics and Factories of the Future ’90, 621–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-58214-1_98.

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Holmberg, Ralph. "The Automated Manufacturing Project: Understanding Management’s Concern." In CAD/CAM Robotics and Factories of the Future, 3–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52326-7_1.

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Raman, Ganapathy G., and Tien-Chien Chang. "Automated Robotic Cell Configuration for Electronics Assembly." In CAD/CAM Robotics and Factories of the Future, 70–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52326-7_13.

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Ganesan, Subramaniam, and Kuriakose Athappilli. "Automated Data Collection Workstation for Inventory Management." In CAD/CAM Robotics and Factories of the Future, 27–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-52326-7_5.

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Holmberg, Ralph. "The Automated Manufacturing Project: Understanding Management’s Concern." In CAD/CAM Robotics and Factories of the Future, 3–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-39962-0_1.

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Raman, Ganapathy G., and Tien-Chien Chang. "Automated Robotic Cell Configuration for Electronics Assembly." In CAD/CAM Robotics and Factories of the Future, 70–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-39962-0_13.

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Ganesan, Subramaniam, and Kuriakose Athappilli. "Automated Data Collection Workstation for Inventory Management." In CAD/CAM Robotics and Factories of the Future, 27–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-39962-0_5.

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Conference papers on the topic "Automated factories"

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Moreno-Munoz, A., and J. J. G. de la Rosa. "Voltage Sag in Highly Automated Factories." In 2008 IEEE Industry Applications Society Annual Meeting (IAS). IEEE, 2008. http://dx.doi.org/10.1109/08ias.2008.332.

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Boca, Remus, Thomas Fuhlbrigge, Harald Staab, George Zhang, Sang Choi, Carlos Martinez, William Eakins, Gregory Rossano, and Srinivas Nidamarthi. "Ultra-flexible production systems for automated factories." In 2016 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2016. http://dx.doi.org/10.1109/coase.2016.7743458.

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Vasile, Cristian, Mihnea Glodeanu, Ion Saracin, and Adina Glodeanu. "Studies on efficiency of automated dust retention installations from compound feed factories." In 20th International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering, 2021. http://dx.doi.org/10.22616/erdev.2021.20.tf157.

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Karlova, Tatyana V., Aleksandr Yu Bekmeshov, Sergey A. Sheptunov, and Natalya M. Kuznetsova. "Methods dedicated to fight against complex information security theats on automated factories systems." In 2016 IEEE Conference on Quality Management, Transport and Information Security, Information Technologies (IT&MQ&IS). IEEE, 2016. http://dx.doi.org/10.1109/itmqis.2016.7751927.

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Baydar, Cem M., and Kazuhiro Saitou. "Prediction and Diagnosis of Propagated Errors in Assembly Systems Using Virtual Factories." In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/cie-21261.

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Abstract Large-scale automated assembly systems are widely used in automotive, aerospace and consumer electronics industries to obtain high quality products in less time. However, one disadvantage of these automated systems is they are composed of so many working parameters. Since it is not possible to monitor all these parameters during the assembly process, an undetected error may propagate and result in a more critical detected error. Anticipation of these types of failures is limited to human experts prior to the assembly operation. In this paper, a unique way of detecting and diagnosing these types of failures by using Virtual Factories is discussed. A Virtual Factory is developed by building and linking several software modules to predict and diagnose propagated errors. A multi-station assembly system is modeled and a previously discussed “off-line prediction and recovery” method was applied. The obtained results showed that this method is capable of predicting propagated errors and it is efficient to diagnose even the failure case is too complex to solve for a human expert.
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Vasile, Cristian. "ENVIRONMENTAL PROTECTION THROUGH AUTOMATED MONITORING OF STEAM TEMPERATURE IN THE WORK INSTALLATIONS OF COMPOUND FEED FACTORIES." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/51/s20.051.

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Laush, Curtis T. "Recent Applications and Automated Operations of FTIR- based Continuous Process Monitors (FTIR-CPMs) within Semiconductor Factories." In Applied Industrial Spectroscopy. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/ais.2020.atu4i.7.

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Guerra-Zubiaga, David A., and Stephen Newman. "Creating a New Energy Efficiency Tool for Manufacturing Automation to Support Next Generation Sustainable Eco-Factories." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71417.

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Global trends indicate that energy consumption in manufacturing automation is an important aspect to support next generation of sustainable eco-factories. Some manufacturing processes consume large amounts of energy to fully be automated. Researchers have been emphasizing the significant challenge energy generation will be in coming years to fulfill demand. Therefore, there is a need to explore new ways of reducing manufacturing automation energy consumption. This paper focuses on research concerned with energy consumption in a fully integrated manufacturing automation, and argues that the understanding of different approaches to explore novel tools for sustainable manufacturing is important to support eco-factories.
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Peng, Jih-Sien, and Yen-Chen Liu. "Towards Cooperative Transportation of Multiple Mecanum-Wheeled Automated Guided Vehicles." In ASME 2019 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/dscc2019-9141.

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Abstract Utilizing multiple small-sized automated guided vehicles (AGVs) in cooperatively transport large and heavy objects in manufacturing factories or logistics is an emerging research direction. Flexibility and efficiency can be enhanced by using multi-AGV comparing to a large AGV with higher capacity especially in clutter environments. In this paper, a multi-AGV system by using Mecanum wheels to provide omnidirectional movement is proposed for cooperative transportation. Accordingly, the proposed Mecanum-wheeled automated guided vehicles (MWAGVs) composed of Mecanum wheels and a rotary platform provides not only non-constrained movement but also planar displacement for allowance of distance errors. In the proposed MWAGVs, the formation control with fixed geometry during operation is significant especially with unknown object information, dynamic uncertainties, and external disturbances. Therefore, the passivity-based adaptive synchronizing control algorithm is developed to ensure stability and tracking performance with uncertain dynamic parameters. Simulations and Experiments show the efficacy of designed Mecanum-wheeled AGV.
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Yılmaz, Abdurrahman, and Hakan Temeltaş. "Affine ICP for Fine Localization of Smart-AGVs in Smart Factories." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97418.

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Abstract With the emergence of the concept of Industry 4.0, smart factories have started to be planned in which the production paradigm will change. Automated Guided Vehicles, abbreviated as AGV, that will perform load carrying and similar tasks in smart factories, Smart-AGVs, will try to reach their destinations on their own route instead of predetermined routes like in today’s factories. Moreover, since they will not reach their targets in a single way, they have to dock a target with their fine localization algorithms. In this paper, an affine Iterative Closest Point, abbreviated as ICP, based fine localization method is proposed, and applied on Smart-AGV docking problem in smart factories. ICP is a point set registration method but it is also used for localization applications due to its high precision. Affine ICP is an ICP variant which finds affine transformation between two point sets. In general, the objective function of ICP is constructed based on least square metric. In this study, we use affine ICP with correntropy metric. Correntropy is a similarity measure between two random variables, and affine ICP with correntropy tries to maximize the similarity between two point sets. Affine ICP has never been utilized in fine localization problem. We make an update on affine ICP by means of polar decomposition to reach transformation between two point sets in terms of rotation matrix and translation vector. The performance of the algorithm proposed is validated in simulation and the efficiency of it is demonstrated on MATLAB by comparing with the docking performance of the traditional ICP.
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Reports on the topic "Automated factories"

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Rice, Valerie J., Gaylord Lindsay, Cory Overby, Angela Jeter, Petra E. Alfred, Gary L. Boykin, Carita De Vilbiss, and Raymond Bateman. Automated Neuropsychological Assessment Metrics (ANAM) Traumatic Brain Injury (TBI): Human Factors Assessment. Fort Belvoir, VA: Defense Technical Information Center, July 2011. http://dx.doi.org/10.21236/ada549141.

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Evans, Susan M., and Nicole A. Ritchie. Requirements for an Automated Human Factors, Manpower, Personnel, and Training (HMPT) Planning Tool. Fort Belvoir, VA: Defense Technical Information Center, May 1992. http://dx.doi.org/10.21236/ada258531.

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Agarwal, Vivek, Johanna H. Oxstrand, and Katya L. Le Blanc. Automated work packages architecture: An initial set of human factors and instrumentation and controls requirements. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1213619.

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Stephens, T. S., Jeff Gonder, Yuche Chen, Z. Lin, C. Liu, and D. Gohlke. Estimated Bounds and Important Factors for Fuel Use and Consumer Costs of Connected and Automated Vehicles. Office of Scientific and Technical Information (OSTI), November 2016. http://dx.doi.org/10.2172/1334242.

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Sobel, A. L., K. T. Stalker, and A. Yee. A human factors engineering approach to biomedical decision making: A new role for automatic target recognizer technologies. Office of Scientific and Technical Information (OSTI), January 1995. http://dx.doi.org/10.2172/10120218.

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Balali, Vahid, Arash Tavakoli, and Arsalan Heydarian. A Multimodal Approach for Monitoring Driving Behavior and Emotions. Mineta Transportation Institute, July 2020. http://dx.doi.org/10.31979/mti.2020.1928.

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Studies have indicated that emotions can significantly be influenced by environmental factors; these factors can also significantly influence drivers’ emotional state and, accordingly, their driving behavior. Furthermore, as the demand for autonomous vehicles is expected to significantly increase within the next decade, a proper understanding of drivers’/passengers’ emotions, behavior, and preferences will be needed in order to create an acceptable level of trust with humans. This paper proposes a novel semi-automated approach for understanding the effect of environmental factors on drivers’ emotions and behavioral changes through a naturalistic driving study. This setup includes a frontal road and facial camera, a smart watch for tracking physiological measurements, and a Controller Area Network (CAN) serial data logger. The results suggest that the driver’s affect is highly influenced by the type of road and the weather conditions, which have the potential to change driving behaviors. For instance, when the research defines emotional metrics as valence and engagement, results reveal there exist significant differences between human emotion in different weather conditions and road types. Participants’ engagement was higher in rainy and clear weather compared to cloudy weather. More-over, engagement was higher on city streets and highways compared to one-lane roads and two-lane highways.
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Ghanipoor Machiani, Sahar, Aryan Sohrabi, and Arash Jahangiri. Impact of Regular and Narrow AV-Exclusive Lanes on Manual Driver Behavior. Mineta Transportation Institute, October 2020. http://dx.doi.org/10.31979/mti.2020.1922.

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This study attempts to answer the question of how a narrow (9-ft) lane dedicated to Automated Vehicles (AVs) would affect the behavior of drivers in the adjacent lane to the right. To this end, a custom driving simulator environment was designed mimicking the Interstate 15 smart corridor in San Diego. A group of participants was assigned to drive next to the simulated 9-ft narrow lane while a control group was assigned to drive next to a regular 12-ft AV lane. Driver behavior was analyzed by measuring the mean lane position, mean speed, and mental effort (self-reported/subjective measure). In addition to AV lane width, the experimental design took into consideration AV headway, gender, and right lane traffic to investigate possible interaction effects. The results showed no significant differences in the speed and mental effort of drivers while indicating significant differences in lane positioning. Although the overall effect of AV lane width was not significant, there were some significant interaction effects between lane width and other factors (i.e., driver gender and presence of traffic on the next regular lane to the right). Across all the significant interactions, there was no case in which those factors stayed constant while AV lane width changed between the groups, indicating that the significant difference stemmed from the other factors rather than the lane width. However, the trend observed was that drivers driving next to the 12-ft lane had better lane centering compared to the 9ft lane. The analysis also showed that while in general female drivers tended to drive further away from the 9-ft lane and performed worse in terms of lane centering, they performed better than male drivers when right-lane traffic was present. This study contributes to understanding the behavioral impacts of infrastructure adaptation to AVs on non-AV drivers.
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DiJoseph, Patricia, Brian Tetreault, and Marin Kress. AIS data case Study : identifying AIS coverage gaps on the Ohio River in CY2018. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/40886.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes a method for evaluating the received coverage from Automatic Identification System (AIS) shore sites and the availability of historic vessel position reports along the Ohio River. The network of AIS shoreside sites installed and operated by the US Army Corps of Engineers (USACE) and the US Coast Guard (USCG) receive information transmitted from vessels; however, reception of these transmissions is generally line-of-sight between the vessel and the AIS site antenna. Reception may also be affected by factors such as the quality of the transceiver installation aboard the vessel as well as the state of the equipment at the receiving site. Understanding how to define and quantify coverage gaps along the inland river system can inform research utilizing AIS data, provide information on the performance of the AIS network, and provide guidance for efforts to address identified coverage gaps
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