Papers
1
Total Citations
31
H-Index
1
About
Adrita Anika is a researcher at the forefront of applying artificial intelligence and robotics to pressing environmental challenges. Her work centers on autonomous systems and deep learning, with a particular focus on developing intelligent solutions for waste management and sustainability. Her most cited paper, "Autonomous Trash Collector Based on Object Detection Using Deep Neural Network" (2019, 31 citations), introduces a novel approach to tackling the global trash crisis by designing a mobile robot capable of autonomously detecting and collecting litter from the ground. This contribution demonstrates her ability to integrate computer vision and robotics into practical, real-world applications. Anika’s research not only addresses the growing problem of non-biodegradable waste but also showcases the potential of AI-driven automation in environmental cleanup. Her work is a compelling example of how engineering innovation can directly serve societal and ecological needs, making her a notable voice in the intersection of robotics, deep learning, and sustainability.
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Top Papers
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