Bidya Debnath
Papers
1
Total Citations
31
H-Index
1
About
Bidya Debnath is a researcher specializing in autonomous systems, robotics, and deep learning applications for environmental sustainability. Her most cited work, "Autonomous Trash Collector Based on Object Detection Using Deep Neural Network" (2019, 31 citations), introduces a practical solution to the growing problem of improper waste disposal. By integrating deep neural networks with mobile robotics, Debnath developed an autonomous system capable of detecting and collecting non-biodegradable trash from the ground, offering a scalable approach to reducing environmental pollution. This contribution highlights her ability to bridge artificial intelligence and real-world ecological challenges, demonstrating how intelligent machines can assist in maintaining cleaner public spaces. Debnath’s research is notable for its focus on applied, socially impactful technology, combining computer vision, robotics, and environmental engineering. Her work has been cited by researchers exploring smart waste management and autonomous navigation, underscoring its relevance in the fields of sustainable robotics and deep learning. Through her innovative integration of object detection and autonomous mobility, Debnath contributes to advancing eco-friendly automation, inspiring further development of intelligent systems that address pressing environmental issues.
Research Focus
Key Achievements
Top Papers
- 1