This research focused on developing an AI-powered robot for collecting COVID-19 contaminated waste. The study employed a mixed-methods approach with three objectives: evaluating the robot's efficiency, assessing user satisfaction, and raising community awareness about proper waste management. The waste collection robot control program successfully performed image processing, distinguished objects, and controlled the collection arm's movement. The Arduino UNO R3 code effectively controlled the vehicle's movement, allowing it to: 1. Control movement direction 2. Collect and dump waste at designated locations 3. Differentiate between objects in the database and others. Three experts in robot design and development evaluated the robot's quality. It achieved over 90% efficiency in picking up objects and placing them in waste bins, and 70% efficiency in movement control. User satisfaction was assessed by 30 purposively sampled students and staff, resulting in an average satisfaction rating of 4.00. The research also aimed to enhance the research team's skills in computer programming, analytical thinking, problem-solving, and teamwork, as well as improve their understanding and use of current technologies.

Authors:
Sirimonpak Suwannakhun, King Mongkut's University of Technology Thonburi, Thailand
Tanes Tanitteerapan, King Mongkut’s University of Technology Thonburi, Thailand
Narong Mungkung, King Mongkut’s University of Technology Thonburi, Thailand
Patasu Doungmala, Next Software Company, Thailand
Naphatsanan Suwannawong, King Mongkut’s University of Technology Thonburi, Thailand

About the Presenter(s)
Dr Sirimonpak Suwannakhun is a University Assistant Professor/Lecturer at King Mongkut's University of Technology Thonburi in Thailand

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