Anup Ingale Jayashree P. Tamkhade
Papers
1
Total Citations
3
H-Index
1
About
Anup Ingale Jayashree P. Tamkhade is an emerging researcher working at the intersection of artificial intelligence, robotics, and environmental sustainability. Their work focuses on applying deep learning techniques to real-world automation challenges, with a particular emphasis on developing intelligent systems that address pressing environmental concerns. Their most notable contribution, "Automated Garbage Separation Using AI Based Robotic ARM" (2024), demonstrates a sophisticated integration of computer vision and robotic systems capable of classifying and sorting waste materials — including plastics, metals, and glass — through sensor-captured imagery analyzed by deep learning algorithms. This research represents a meaningful step toward scalable, intelligent waste management solutions that could significantly reduce the burden of manual sorting and improve recycling efficiency. With 3 citations already accumulated in its debut year, the work has attracted early attention from the research community, signaling its relevance in a field where automation and sustainability increasingly converge. As global waste management challenges continue to grow, Tamkhade's contributions position them as a promising voice in AI-driven environmental technology, with potential for broader impact as the field rapidly evolves.
Research Focus
Key Achievements
Top Papers
- 1AUTOMATED GARBAGE SEPARATION USING AI BASED ROBOTIC ARM3 citations · 2024
Related papers
- AUTOMATED GARBAGE SEPARATION USING AI BASED ROBOTIC ARM
- AUTOMATED GARBAGE SEPARATION USING AI BASED ROBOTIC ARM
- Smart Garbage Sorting System: Integrating Robotic Arm and Machine Learning for Segregation
- Research on garbage sorting robotic arm based on image vision
- A Machine Arm to Assist in Trash Sorting using machine Learning and Object Detection
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