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GPS GUIDED TRASH COLLECTION ROBOT WITH AUTOMATIC SEGREGATION
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Abstract: Rapid urbanization has greatly increased the need for efficient and hygienic municipal solid waste management systems. Traditional waste collection at the door still depends largely on manual work, fixed schedules, and there is no segregation of waste at the source which leads to operational inefficiencies and environmental problems. This paper discusses the design and development of a GPS, guided autonomous trash collection robot with automatic waste segregation. The proposed system makes use of an Arduino Uno microcontroller as the main control unit, coupled with a GPS module and a digital compass to enable accurate navigation outdoors. The robot receives user, defined pickup locations through a Bluetooth, enabled mobile application. Once the robot arrives at the location, it notifies the user and collects the waste which is automatically divided into wet and dry categories by a moisture, based sensing system. Waste segregation is further facilitated by a servo, actuated unit that directs the different wastes into the appropriate compartments. Testing the prototype confirms the excellent navigation of the robot, accurate waste separation, and no, fuss collecting of the garbage by the drone. The proposed system provides an economically viable and scalable alternative to conventional methods of waste management and is very likely to be adopted by both residential and institutional environments.
Keywords: Autonomous robot, Waste management, GPS navigation, Automatic waste segregation, Arduino Uno, Smart cities, Mobile robotics.
Keywords: Autonomous robot, Waste management, GPS navigation, Automatic waste segregation, Arduino Uno, Smart cities, Mobile robotics.
How to Cite:
[1] Ms. Minchana B M, Ms. Divyashree R H, Ms. Supriya A P, Ms. Prabhavathi K, Mr. Vishwas P Gowda, “GPS GUIDED TRASH COLLECTION ROBOT WITH AUTOMATIC SEGREGATION,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2026.14601
