Can ant algorithms make automated guided vehicle system more intelligent?

Xing, Bo; Gao, Wenjing; Battle, Kimberly; Marwala, Tshilidzi; Nelwamondo, Fulufhelo V.

doi:10.1109/icsmc.2010.5642291

Cited by 7 publications

(2 citation statements)

References 62 publications

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“…The effectiveness of the algorithm was verified through simulation. In [144], authors examined the feasibility of using ant algorithm to AGVs design and control. A case was made for the introduction of an ant inspired adaptive routing algorithm known as AntHocNet.…”

Section: B Navigation Control and Guidancementioning

confidence: 99%

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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Section: B Navigation Control and Guidancementioning

confidence: 99%

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

et al. 2020

View full text Add to dashboard Cite

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“…The results showed the capability of optimising energy consumption of MRTSs by the mentioned methods. The ant colony optimisation (ACO) was also utilised for automated guidance vehicles and transportation systems [12–14].…”

Section: Introductionmentioning

confidence: 99%