Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Transport has always been a fundamental impulse for the development of civilization. The first fully automatically controlled vehicles for industrial application (previously called driverless vehicles) was design in 1954 year. This has been achieved more than 60 years ago. Unmanned Ground Vehicles are a whole family of autonomous vehicles use modern tools with all power today available electronics for navigation task and decision making process on the base artificial intelligence and (AI) algorithms. At present time a problem of the realization a fully reconfiguration navigation system working in real time mode for UGV vehicles is the subject of the research for many scientific units of the entire scientific world. The object of the statement constitute AGV short historical outline with actual trends marking. The special authors' attention was focused on the solutions dedicated for so-called e-tools functionalities implementing in modern AGV vehicles. The main purpose of the article was focused on the set of issues involving the most problems in the whole material handling (MHD) family devices with any autonomous factor. The article is focused on the localization problem, trajectories founding, path planning, scheduling, workspace with environment mapping and AGV control issues. Described methods and tools are connected with chosen artificial intelligence solutions dedicated or adapted for autonomous vehicles' needs.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
101--110
Opis fizyczny
Bibliogr. 26 poz., rys.
Twórcy
autor
- AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Mickiewicza Av. 30, 30-059 Krakow, Poland
autor
- AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics Mickiewicza Av. 30, 30-059 Krakow, Poland
Bibliografia
- [1] Bruce, G., Raghavan, S., Wasil, E., The Vehicle Routing Problem: Latest Advances and New Challenges, Springer, 2008.
- [2] Farahani, Z. F., Laporte, G., Miandoabchi, E., Bina, S., Designing efficient methods for the tandem AGV network design problem using taboo search and genetic algorithm, Int J Adv Manuf Technol., Vol. 36, pp. 996-1009, 2008.
- [3] Garulli, A., Giannitrapani, A., Rossi A., Vicino A., Mobile Robot SLAM for Line-Based Environment Representation, IEEE Conference on Decision and Control, Vol. 2, pp. 2041-2046, 2005.
- [4] Giergiel, J., Hendzel, Z., Jagiełowicz, C., Rozmyta realizacja odpornego sterowania ruchem mobilnego robota kołowego, Przegląd Mechaniczny, Z. 9, s. 20-24, 2005.
- [5] Glover, F., Laguna, M., Tabu search, Kluwer Academic Publishers, Boston1997.
- [6] John, J., Wprowadzenie do robotyki, WNT, Warszawa 1993.
- [7] Kułakowski, K., Wąs, J., Szpyrka, M., Dynamiczny model świata w sterowaniu autonomicznym robotem mobilnym, Automatyka, T. 12, Z. 3, s.833-840, 2008.
- [8] Latombe, J. C. (ed), Robot Motion Planning and Control, Springer, 1998.
- [9] Newman, P. M., Durrant-Whyte, H. F., A New Solution to the simultaneous localization and map building (SLAM) problem, IEEE Transactions on robotics and automation, Vol. 17, No. 3, pp. 229-241, 2001.
- [10] Nishi, T., Morinakab, S., Konishib, M., A distributed routing method for AGVs under motion delay disturbance, Robotics and Computer-Integrated Manufacturing, Vol. 23, pp. 517-532, 2007.
- [11] Nowakowski, J., Algorytmy sterowania robotem mobilnym w otoczeniu ruchomych przeszkód, T. 11, Z. 3, s. 223-232, 2007.
- [12] Podsędkowski, L., Dynamiczne planowanie trajektorii robotów mobilnych w zmiennej przestrzeni roboczej, Politechnika Łódzka, Łódź 1999.
- [13] Qiu, L., Hsu, W. J, Huang, S. Y., Wang, H., Scheduling and routing algorithms for AGVs: a survey, Int. J. Prod. Res., Vol. 40, No. 3, pp. 745-760, 2002.
- [14] Smoczek, J., Szpytko, J., Conventional and fuzzy control of an overhead traveling cranes, CARS & FOF 2008, 24th ISPE international conference on CAD/CAM robotics & factories of the future, Koriyama, Japan 2008.
- [15] Smoczek, J., Szpytko, J., Pole placement approach to discrete and neuro-fuzzy crane control system prototyping, Journal of KONES Powertain and Transport, Vol. 16, No. 4, pp. 435-445, 2009.
- [16] Smoczek, J., Szpytko, J., Zastosowanie algorytmów heurytycznych w systemach sterowania ruchem suwnic, Zeszyty Naukowe, Politechnika Świętokrzyska, Nr 12, s. 145-146, 2009.
- [17] Solimanpur, M., Vrat, P., Shankar, R., An ant algorithm for the single row layout problem in flexible manufacturing systems, Computers & Operations Research, Vol. 32, pp. 583-598, 2005.
- [18] Szpytko, J., Hyla, P., Automated Guided Vehicles Navigating Problem In Container Terminal, Logistics and Transport, No 2(13), pp. 107-116, 2011.
- [19] Szpytko, J., Hyla, P., Material handling devices operation environment 3D-type presentation based on laser scanning systems, Journal of KONES, Vol. 17, No. 2, pp. 451-458, 2010.
- [20] Szpytko, J., Hyla, P., Stereovision 3D type workspace mapping system architecture for transport devices, Journal of KONES, Vol. 17, No 4, pp. 495-504, 2010.
- [21] Trojnacki, M., Szynkarczyk, P., Tendencje rozwoju mobilnych robotów lądowych, Autonomia robotów mobilnych – stan obecny i perspektywy rozwoju, Pomiary Automatyka Robotyka, Vol. 9, s. 5-9, 2008.
- [22] Ulatowski, W, Masłowski, A., Modelowanie działań operatora w sterowaniu wieloagentowym podsystemem transportowym w systemie wytwarzania, Pomiary Automatyka Robotyka, Nr 2, s. 6-11, 2005.
- [23] Yahja, A., Framed-Quadtree Path Planning for Mobile Robots Operating in Sparse Environments, Proceedings of the IEEE International Conference on Robotics and Automation, Vol. 1, pp. 650-655, Belgium 1998.
- [24] Young, J. L., Suh, J. H., Lee, J. W., Kwon, S. L., Driving control of an AGV for an automated container terminal using an immunized PID controller based on cell-mediated immunity, Artif Life Robotics, Vol. 9, pp. 90-95, 2005.
- [25] Yu, H., Malik, R., Aimy: An Autonomous Mobile Robot Navigation in Unknown Environment with Infrared Detector System, Journal of Intelligent and Robotic Systems, Vol. 14, pp. 181-197, 1995.
- [26] Zelinsky A., Using Path Transform to Guide The Search for Findpath in 2D, The International Journal of Robotics Research, Vol. 13, No. 4, pp. 315-325, 1994.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-07ea783a-441a-4678-9e29-945a4f638af3