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@article{178490,
        author = {Krishnakumar S and Sharan S and Surya S and Amuthan E},
        title = {Waste segregation using robotic arm},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5934-5937},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178490},
        abstract = {Efficient waste management is a cornerstone
of environmental sustainability. This paper presents an
advanced automated robotic waste sorting system that
leverages a PIC (Peripheral Interface Controller)
microcontroller, a suite of sensors, and a robotic arm to
classify and sort waste into three distinct categories:
organic, recyclable, and non-recyclable. The system
integrates ultrasonic, passive infrared (PIR), and
capacitive sensors to accurately identify waste types,
which are then processed by the robotic arm for precise
placement into designated bins. A conveyor belt system,
spanning 60 cm, ensures seamless waste transportation.
The proposed system has been rigorously tested for
accuracy, efficiency, and response time, demonstrating
superior sorting precision compared to conventional
manual methods. This study highlights the potential of
sensor-based robotic systems in revolutionizing waste
management practices.},
        keywords = {Waste Segmentation, Robotic Arm, Automation, PIC Microcontroller, Sensor-based Sorting, Environmental Sustainability, Smart Waste Management},
        month = {May},
        }