Aditya Shinde
Papers
1
Total Citations
2
H-Index
1
About
Aditya Shinde is a rising researcher at the intersection of robotics, computer vision, and environmental engineering. His work focuses on developing autonomous systems for real-world challenges, with a particular emphasis on underwater robotics and waste management. Shinde’s most-cited paper, "Computer Vision-Based Autonomous Underwater Vehicle with Robotic Arm for Garbage Detection and Cleaning" (2024), introduces a novel integration of deep learning-based object detection with a robotic manipulator, enabling an autonomous underwater vehicle (AUV) to identify and collect submerged debris. This contribution addresses the critical problem of aquatic pollution by combining real-time visual perception with precise mechanical action. Though early in his career, with 2 citations to date, Shinde’s work demonstrates a practical, scalable approach to environmental cleanup that has potential for significant impact in marine conservation and smart city initiatives. His research not only advances autonomous navigation and manipulation in challenging underwater environments but also underscores a commitment to applying cutting-edge technology for ecological sustainability. As his publication record grows, Shinde is poised to become a key voice in the field of robotic environmental monitoring and intervention.
Research Focus
Key Achievements
Top Papers
- 1