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dc.contributor.advisorLê, Ngọc Bích
dc.contributor.authorVõ, Minh Tiến
dc.date.accessioned2025-02-12T07:11:59Z
dc.date.available2025-02-12T07:11:59Z
dc.date.issued2024-04
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/6478
dc.description.abstractVietnam's healthcare system faces significant challenges, including hospital overcrowding and understaffing, exacerbated by the COVID-19 pandemic. This study examines the current state of Vietnam's medical services, focusing on bed occupancy rates and staffing ratios compared to WHO recommendations. Additionally, it explores the implications of healthcare worker strain on service quality and patient satisfaction. The feasibility of robotic healthcare systems as a solution is discussed, citing examples of their effectiveness in reducing workload and enhancing efficiency. Developing Automated Guided Vehicles (AGVs) is a suitable solution, highlighting the utilization of the Robot Operating System (ROS) and various SLAM algorithms. Then, the integration of path planning algorithms, particularly the Dynamic Window Approach (DWA) and A* algorithm, installation of ROS platforms and web interfaces for AGV navigation automation were performed to evaluate the possibility. As a result, the AGV's navigation system relies on the Robot Operating System (ROS) for seamless communication and coordination between hardware components. Despite limitations in complex real-time capabilities, ROS enhances system efficiency and flexibility. Integrating additional features in the ROS website, such as camera functionality and laser scan visualization, gives operators powerful tools for precise control and decision-making. Results from simulated hospital mapping and UV disinfection tasks underscore the AGV's efficacy in healthcare settings. Real-time coordination between the ROS website and 2D observations, along with a console feature for manual control, ensures proactive safety measures in critical scenarios. The thesis contributes to advancing autonomous robotics in healthcare, addressing challenges in medical supply transportation and infection control. Future perspectives include further refinement of the AGV design, integration of automatic docking charging, and ongoing improvements to enhance loadbearing capabilities and navigation precision.en_US
dc.subjectRobotic Operating System Navigationen_US
dc.subjectAutomated Medication Dispensingen_US
dc.subjectDelivery Roboten_US
dc.subjectAGVsen_US
dc.subjectROSen_US
dc.titleDesign And Implementation Of Robotic Operating System Navigation For Automated Medication Dispensing And Delivery Roboten_US
dc.typeThesisen_US


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