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Original Research

NJE. 2025; 32(1): 39-46


DEVELOPMENT OF AN AUTONOMOUS WASTE-HANDLING ROBOTIC SYSTEM FOR HOSPITAL WARDS

K. E. Jack, K. C. Bala, J. Agajo, B. A. Adegboye, L. J. Olatomiwa, J. G. Ambafi, M. Aliyu, C. Innocent, A. A. Yakub, I. S. Ibrahim.



Abstract
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The healthcare industry has witnessed substantial growth in recent years, resulting in an upsurge in medical waste generation. This upsurge poses a unique challenge to effective waste handling, particularly within hospital wards. Manual handling of medical waste has been associated with inefficiencies, jeopardizing the safety of patients, staff, and visitors. To address these challenges, this study introduces the development of an autonomous waste handling robotized system that automates the processes of waste handling and optimizes the overall efficiencies. This system employed two controllers that synergize ultrasonic sensors and servomotors for automated lid control and monitoring of the waste container. A notification system with color-coded Light Emitting Diodes (LEDs) which indicates the present status of the waste container and consequently, reducing the need for human intervention. The system also uses Infrared proximity sensors integrated with motor drivers to control the navigation of the robot, featuring a mechanism that enables climbing of obstacles. The system design includes generation of mathematical models of both the mechanical and electrical components of the system to ensure structural integrity and efficient performance. The fabrication phase translates the theoretical design into a physical system considering material selection, assembly processes, and compliance with healthcare regulations. The electrical circuit design guides the selection of motors, batteries, and sensors, ensuring effective performance and power efficiency. These approaches position the adaptable mobile robotic system to contribute to sustainable waste management that promotes improved operational efficiency, increased safety for healthcare workers, and a positive environmental impact.

Key words: Robotics System, Hospital Ward, Waste Handling, Modeling, Sensor, Servo Motor





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050607080910111201
20252026

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