Debrup Laha
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
Top Papers
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- 3Design and Development of Innovative Pet Feeding Robot6 citations · 2018
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