Debrup Laha

New York University

Papers

5

Total Citations

51

H-Index

4

About

Debrup Laha is a robotics researcher whose work sits at the intersection of assistive technology, intelligent automation, and human-robot interaction. His most impactful contribution is the development of an "Intelligent Smart Glass for Visually Impaired" system, which integrates deep learning machine vision with the Robot Operating System (ROS) to provide real-time environmental awareness for users—a paper that has garnered 23 citations and demonstrates his commitment to socially beneficial robotics. Laha has also advanced dexterous manipulation through a multi-fingered hand controlled via virtual reality and ROS (12 citations), and explored autonomous navigation with a self-driving car platform using machine vision algorithms (6 citations). His innovative designs extend to practical applications like an automated pet feeding robot (6 citations) and a visionary concept for isolated bio-regenerative vertical farming systems in space exploration (4 citations). Across these projects, Laha consistently leverages ROS as a backbone for modular, scalable robotic systems, combining computer vision, deep learning, and real-time control. His work stands out for its breadth—from accessibility aids to space agriculture—and for its hands-on, implementation-focused approach that bridges cutting-edge AI with tangible robotic solutions.

Research Focus

Key Achievements

4
H-Index
5
Papers
51
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Smart Glass for Visually Impaired Using Deep Learning Machine Vision Techniques and Robot Operating System (ROS)
23 citations · 2018
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: New York University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago