“trashbot” The Smart Dustbin

Abstract

As Global Urban Populations Expand, The Inefficiencies Of Traditional, Stationary Waste Management Systems Have Become Increasingly Apparent, Often Resulting In Environmental Degradation And Public Health Risks. To Address These Limitations, This Research Introduces TrashBot, An Autonomous, Omnidirectional Robotic Waste Collection System That Leverages Artificial Intelligence And Computer Vision To Transform Waste Disposal From A Passive To An Active Process. The System Utilizes The YOLO (You Only Look Once) Deep Learning Framework For Real-time Trash Identification Across Diverse Environments. A Key Innovation Of TrashBot Is Its Predictive Interception Capability; By Applying Projectile Motion Analysis, The Robot Calculates The Trajectory Of Discarded Items To Proactively Position Itself At The Estimated Landing Point. Mobility Is Facilitated By An Omnidirectional Drivetrain, Allowing For Rapid, Multi-directional Maneuvers In Crowded Spaces. For Safe Navigation, The System Integrates Ultrasonic-based Environmental Mapping And The A Path-planning Algorithm* To Navigate Dynamic Obstacles Efficiently. By Synthesizing Advancements In Autonomous Robotics And Predictive Modeling, TrashBot Offers A Scalable Solution For Modern Waste Management That Reduces Manual Labor And Improves Urban Hygiene. The Modular Architecture Further Allows For Future Integrations, Such As Automated Sorting And Sanitization, Aligning With The Broader Objectives Of Developing Sustainable, Smart City Infrastructures.

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