Open Platform Based Mobile Robot Control for Automation in Manufacturing Logistics

Seder, Marija; Petrović, Luka; Peršić, Juraj; Popović, Goran; Petković, Tomislav; Šelek, Ana; Bićanić, Borna; Cvišić, Igor; Josić, Damir; Marković, Ivan; Petrović, Ivana; Muhammad, Aish

doi:10.1016/j.ifacol.2019.11.055

Cited by 12 publications

(3 citation statements)

References 5 publications

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“…• Warehouse management in retail and manufacturing [106] • Fleet management and luggage transport robots [107] • Manufacturing logistics based on the Open Platform for Innovations in Logistics (OPIL) [108] • Intralogistics applications such as commissioning [109] • Autonomous pedestrian following (following workers in a warehouse and delivery personnel in logistics) [104] • sustainable operation of multiple Self-Guided Vehicles (SGVs) in a dynamic manufacturing environment [110] • Navigation in congested environments [111]…”

Section: Researchmentioning

confidence: 99%

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

Kargar,

Yordanov,

Harvey

et al. 2024

IEEE Access

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Simulation plays a pivotal role in providing safely reproducible scenarios to evaluate the ever-advancing domain of computer science and robotics. It was an essential part of the pandemic when no access to physical spaces was available. The advent of AI-powered platforms in conjunction with enhanced graphics, physics and other sensory engines attracts a new breed of interdisciplinary researchers to enter the robotic field, most notably from computer science, engineering and social sciences. Integration of ROS as a uniform middleware to deploy achieved outcomes in real practice provides an opportunity to move one step closer to the sim-to-real experiences that enables researchers to test ideas beyond the close laboratory spaces. There is a lack of comprehensive evaluation of ROS-enabled simulators, and the integration of advanced AI techniques for realistic scenario replication. This paper addresses this challenge by evaluating ROSenabled simulators in the design and implementation of AI techniques through an in-depth systematic literature review (SLR). This SLR is guided by the research and commercial market demands, employing Population, Intervention, Comparison, Outcome, and Context (PICOC) and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) frameworks with a major focus on Wheeled Mobile Robots (WMRs). We also highlight the increasing importance of game engines like Unity and Unreal in future of robotic simulations, especially under modelling close to real experiences. By comparing simulation platform features and capabilities, this paper offers guidance to developers and researchers, enabling them to select the most suitable platform for their projects efficiently that contradicts the commonly in use "one size fits all" approach. Finally, based on the thorough insights from the review, we identify and suggest some key future research directions in AI-enhanced realistic robotic simulations.

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Section: Researchmentioning

confidence: 99%

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

Kargar,

Yordanov,

Harvey

et al. 2024

IEEE Access

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“…Seder Marija has developed a new omnidirectional AGV autonomous path planning solution based on an open logistics innovation platform for local manufacturing logistics automation systems. It is suitable for complex and difficult transportation tasks, which can improve the control level of local mobile robots and prove its effectiveness [6]. Zhang Jie analyzed and studied the dynamic control of AGV in local industrial production activities.…”

Section: Introductionmentioning

confidence: 99%

Autonomous Path Planning for Industrial Omnidirectional AGV Based on Mechatronic Engineering Intelligent Optical Sensors

Pan¹

2023

IJACSA

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With the rapid development of modern industry, the application of automated mechanical and electronic technology is gradually increasing, and the research on automatic path planning is also receiving increasing attention. In this environment of rapid technological progress, rapid growth of the knowledge economy, and fierce competition, industrial intelligence has become an indispensable part of social development. Industrial Automated Guided Vehicle (AGV) has put forward higher requirements for the application of automatic control technology in the planning and research of autonomous path planning. Autonomous path planning with AGV as the service object is currently the most widely used direction in industrial production processes, with the best development prospects and the highest market demand. Optimizing autonomous path planning for AGV is of great significance in promoting the process of industrial modernization and improving industrial production efficiency. In order to solve the problems of low path planning efficiency, excessive reliance on the rich experience and subjective judgment of relevant personnel, and excessive consumption of path planning costs in traditional AGV omnidirectional autonomous path planning, this article attempted to introduce sensor technology to conduct in-depth research on AGV omnidirectional automatic path planning. Based on intelligent optical sensors and combined with ant colony algorithm, the autonomous path planning model for AGV was optimized, and an innovative AGV omnidirectional autonomous path planning model application experiment was conducted in two industrial production enterprises in a certain region. Comparative analysis of experimental data showed that the innovative AGV omnidirectional autonomous path planning model studied in this article had an average improvement of about 17.8% in four evaluation indicators compared to traditional AGV omnidirectional autonomous path planning models.

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“…Компании постоянно находятся в поиске способов внедрения инноваций для поддержки конкурентоспособности [1,2]. Необходимо использование на всех этапах производственного процесса эффективных и технологичных решений [3], в том числе эффективных способов программирования роботизированных систем. Внедрение таких технологий [4] возможно в любых отраслях: автомобильная, пищевая, фармацевтическая и химическая; производство пластиков и полимеров, а также в любых производственных процессах, где следует исключить человеческий фактор, влияющий на конечный выход продукции.…”

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Machine Service Automation by a Collaborative Robot Based on Pattern-Oriented Programming

Gelshtein

Kashevnik

2020

IZVESTIA VGTU

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Open Platform Based Mobile Robot Control for Automation in Manufacturing Logistics

Cited by 12 publications

References 5 publications

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

Emerging Trends in Realistic Robotic Simulations: A Comprehensive Systematic Literature Review

Autonomous Path Planning for Industrial Omnidirectional AGV Based on Mechatronic Engineering Intelligent Optical Sensors

Machine Service Automation by a Collaborative Robot Based on Pattern-Oriented Programming

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