Debashish Das
Papers
1
Total Citations
8
H-Index
1
About
Debashish Das is a researcher at the forefront of integrating computer vision and artificial intelligence into practical, cost-effective robotic systems. His work centers on developing intelligent sensing platforms that bridge the gap between advanced AI algorithms and real-world, low-cost hardware. His most-cited paper, "A computer vision and artificial intelligence based cost-effective object sensing robot" (2019), with 8 citations, showcases his commitment to democratizing robotics by creating accessible solutions for object detection and manipulation. This contribution highlights his ability to design systems that are both computationally efficient and economically viable, making AI-driven robotics more attainable for smaller labs, educational settings, and developing regions. Das’s research is particularly significant for its focus on overcoming the traditional cost barriers in robotics, paving the way for broader adoption of intelligent automation. His work resonates with students and researchers interested in practical AI, embedded vision, and the future of affordable, autonomous systems that can operate in diverse environments.
Research Focus
Key Achievements
Top Papers
- 1