Shreya Agrawal

Papers

1

Total Citations

5

H-Index

1

About

Shreya Agrawal is a robotics researcher whose work focuses on leveraging automation to address pressing environmental challenges. Her primary research area lies in the development of intelligent, autonomous systems for waste management, with a particular emphasis on robotic sorting and collection. Agrawal's major contribution is the creation of the "Gar-Bot" (Garbage Collecting and Segregating Robot), a pioneering prototype that integrates computer vision and mechanical design to detect, classify, and collect garbage into three distinct categories. This work, published in 2021, has garnered 5 citations, establishing a foundation for future research in automated waste segregation. By demonstrating a functional indoor solution, Agrawal has addressed a critical gap in sustainable technology, offering a scalable approach to reducing landfill waste and improving recycling efficiency. Her achievement highlights the potential of robotics to transform mundane yet vital tasks, inspiring further innovation in eco-friendly automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Gar-Bot: Garbage Collecting and Segregating Robot
5 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago