Isro Dwian Yunandha

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About

Isro Dwian Yunandha is a researcher at the forefront of intelligent mechatronics and applied artificial intelligence, with a focus on autonomous systems and environmental sustainability. His work bridges the gap between robotics and real-world problem-solving, particularly in the domains of object detection and waste management. In his most cited paper, "Ball Detection System for a Soccer on Wheeled Robot Using the MobileNetV2 SSD Method" (2025, 4 citations), Yunandha demonstrates a practical application of AI by employing the Single Shot MultiBox Detector MobileNetV2 model to enable a wheeled soccer robot to accurately recognize a ball. This contribution highlights his expertise in deploying lightweight neural networks for real-time autonomous object identification. Complementing this technical achievement, his work on the "Indonesian Waste Database: Smart Mechatronics System" (2023, 2 citations) tackles a pressing urban challenge. By integrating a mechatronic robot system with a comprehensive database of Indonesian waste types, Yunandha provides a foundational tool for smarter, automated waste sorting and management. Together, these projects underscore his commitment to developing scalable, AI-driven solutions that enhance both robotic autonomy and environmental stewardship, marking him as an emerging voice in smart systems engineering.