![]() The benefits of implementing autonomous mobile robots to your logistics If you would like to know more about our autonomous mobile robots or how they could benefit your business, please contact us. MAXAGV autonomous mobile robots are used in a variety of applications including: intralogistics, retail, warehouses, airports, manufacturing plants and logistics centres. They autonomously navigate using intelligent laser technology, meaning they can work safely around people and other obstacles. How does our autonomous mobile robots work?Īll our autonomous mobile robots are powered by electric batteries and can be quickly and easily recharged. Apart from our standard models we can offer special designs for your application, heavy load Autonomous Mobile Robots and FLT Conversions – manual forklift trucks (FLTs) converted into an AMR. Our FX range are a fork type Autonomous Mobile Robots and the CX range are load carriers. Lee DY, DiCesare F (1994) Integrated scheduling of flexible manufacturing systems employing automated guided vehicles.MAXAGV offers a range of standard Autonomous Mobile Robots models and bespoke AMRs that can be adapted for your specific needs and requirements. Li D, Shenglong T, Wan J, Shu Z, Wang S, Athanasios (2016) Software defined IIoT (SD-IIoT) in the context of industry 4.0. Zhong RY, Wang H, Xu (2017) IoT enabled real time machine status monitoring approach for cloud manufacturing.Procedia CIRP 63:709–714Īhmad J, Chen B, Imran M, Li D, Liu C (2018) Towards dynamic resource management for IoT based manufacturing. IEEE Trans Autom 13(3)īryan N, David S, Alonzo K Infrastructure free AGV based on computer vision. Zhong SL, Xu C (2016) An active-RFID tag enabled locating approach with multipath effect elimination in AGV. Xu C, Zhong RY, Lu SP, Wang LH (2017) A RFID-enabled positioning system in automated guided vehicle for smart factories. Zhong K, Newman ST (2017) The intelligent manufacturing in the context of industry 4.0: a review. Harashima F, Lee S, Lee KC, Lee H (2002) The Integration of mobile vehicles for automated material handling using Profibus and IEEE networks. In: IEEE communications magazineĬhengliang L, Lloret J, Wan J, Tang S, Hua Q (2018) IOT journal of cloud robotics for material handling in cognitive industrial internet of things. Luo Y, Ying D, Pace P, Li W, Fortino G (2018) Workshop networks integration using mobile intelligence in smart factories, 0163-6804/18/$25.00 © 2018 IEEE. ![]() Nielsen A (2017) A methodology for implementation of mobile robot in adaptive manufacturing environments. In: International conference on intelligent robotics and applications, pp 377–385 Kim S, Jung K, Lee I, Song H, Kim J (2012) Vision guidance system for AGV using ANFS. Mehami J, Zhong RY, Mauludin N (2018) Automated guided vehicles for manufacturing in the context of smart industry 4.0” 2351-9789, Elsevier under responsibility of the scientific committee of the North American manufacturing research conference Keliang Zhou R, Lu S, Wan J, Ya H, Liu*n Q (2013) Enabling cyber physical systems with M2M technologies. Wang S, Wan J, Zhang D, Li D, Zhang C (2016) Towards the smart factory “a self-organized multiagent system assisted with big data based feedback and coordination Elsevier computer networks,” Comput Netw 101:158–168 ![]()
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