Priority based optimal path routing for automated guided vehicle

Verma, Nishchal K.; Sahu, Soubhagya Kumar; Mustafa, Aquib; Ocean,; Dhar, Narendra Kumar; Salour, Al

doi:10.1109/wci.2015.7495531

Cited by 5 publications

(2 citation statements)

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“…Results shows that the designed algorithm can solve the problem of cumulative errors from dead reckoning and the uncertainty of the particle filter. In [111], authors proposed and designed a priority-based path routing algorithms for AGVs. The algorithm was based on priorities of locations that each AGV will visit on the global factory floor map.…”

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confidence: 99%

“…For the priority-based routing algorithm to work, the map of the factory floor is available as an input to the priority algorithm, and the AGV can utilize the map to make path tracking decisions. In their implementation as reported in [111], authors decided to use a LUT to store priorities of the factory floor path nodes. An Arduino Uno that is based on the ATmega328 MCU was used to automate AGV control activities.…”

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A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications

et al. 2020

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In industrial environments, over several decades, Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) have served to improve efficiencies of intralogistics and material handling tasks. However, for system integrators, the choice and effective deployment of improved, suitable and reliable communication and control technologies for these unmanned vehicles remains a very challenging task. Specifics of communication for AGVs and AMRs imposes stringent performance requirements on latency and reliability of communication links which many existing wireless technologies struggle to satisfy. In this paper, a review of latest AGVs and AMRs research results in the past decade is presented. The review encompasses results from different past and present research domains of AGVs. In addition, performance requirements of communication networks in terms of their latencies and reliabilities when they are deployed for AGVs and AMRs coordination, control and fleet management in smart manufacturing environments are discussed. Integration challenges and limitations of present state-of-the-art AGV and AMR technologies when those technologies are used for facilitating AGV-based smart manufacturing and factory of the future applications are also thoroughly discussed. The paper also present a thorough discussion of areas in need of further research regarding the application of 5G networks for AGVs and AMRs fleet management in smart manufacturing environments. In addition, novel integration ideas by which tactile Internet, 5G network slicing and virtual reality applications can be used to facilitate AGV and AMR based factory of the future (FoF) and smart manufacturing applications were motivated.INDEX TERMS Intelligent factory, factory of the future, 5G, smart manufacturing, industry 4.0, autonomous industrial equipment, AGV, AMR, tactile Internet, virtual reality, lean manufacturing.

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confidence: 99%