Academic Journal

Vision-based omnidirectional indoor robots for autonomous navigation and localization in manufacturing industry

التفاصيل البيبلوغرافية
العنوان: Vision-based omnidirectional indoor robots for autonomous navigation and localization in manufacturing industry
المؤلفون: Cosimo Patruno, Vito Renò, Massimiliano Nitti, Nicola Mosca, Maria di Summa, Ettore Stella
المصدر: Heliyon, Vol 10, Iss 4, Pp e26042- (2024)
بيانات النشر: Elsevier, 2024.
سنة النشر: 2024
المجموعة: LCC:Science (General)
LCC:Social sciences (General)
مصطلحات موضوعية: Omnidirectional autonomous robot, Visual odometry, Convolutional neural network, Computer vision, Feature-based approach, Manufacturing industry, Science (General), Q1-390, Social sciences (General), H1-99
الوصف: In this paper, we present a new generation of omnidirectional automated guided vehicles (omniagv) used for transporting materials within a manufacturing factory with the ability to navigate autonomously and intelligently by interacting with the environment, including people and other entities. This robot has to be integrated into the operating environment without significant changes to the current facilities or heavy redefinitions of the logistics processes already running. For this purpose, different vision-based systems and advanced methods in mobile and cognitive robotics are developed and integrated. In this context, vision and perception are key factors. Different developed modules are in charge of supporting the robot during its navigation in the environment. Specifically, the localization module provides information about the robot pose by using visual odometry and wheel odometry systems. The obstacle avoidance module can detect obstacles and recognize some object classes for adaptive navigation. Finally, the tag detection module aids the robot during the picking phase of carts and provides information for global localization. The smart integration of vision and perception is paramount for effectively using the robot in the industrial context. Extensive qualitative and quantitative results prove the capability and effectiveness of the proposed AGV to navigate in the considered industrial environment.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2405-8440
Relation: http://www.sciencedirect.com/science/article/pii/S2405844024020735; https://doaj.org/toc/2405-8440
DOI: 10.1016/j.heliyon.2024.e26042
URL الوصول: https://doaj.org/article/ba032087e00844c0857f56f979c9dfdd
رقم الانضمام: edsdoj.ba032087e00844c0857f56f979c9dfdd
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24058440
DOI:10.1016/j.heliyon.2024.e26042