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Conceptual design and simulation study of an autonomous indoor medical waste collection robot
IAES International Journal of Robotics and Automation ; 12(1):29-40, 2023.
Article in English | ProQuest Central | ID: covidwho-2169726
ABSTRACT
Solid waste management is one of the critical challenges seen everywhere, and the coronavirus disease (COVID-19) pandemic has only worsened the problems in the safe disposal of infectious waste. This paper outlines a design for a mobile robot that will intelligently identify, grasp, and collect a group of medical waste items using a six-degree of freedom (DoF) arm, You Only Look Once (YOLO) neural network, and a grasping algorithm. Various designs are generated before running simulations on the selected virtual model using Robot Operating System (ROS) and Gazebo simulator. A lidar sensor is also used to map the robot's surroundings and navigate autonomously. The robot has good scope for waste collection in medical facilities, where it can help create a safer environment.
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Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: IAES International Journal of Robotics and Automation Year: 2023 Document Type: Article

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Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: IAES International Journal of Robotics and Automation Year: 2023 Document Type: Article