Debashis Nandi
Papers
5
Total Citations
58
H-Index
4
About
Debashis Nandi is a researcher whose work sits at the intersection of computer vision, robotics, and intelligent systems. His primary contributions lie in developing low-cost, single-camera stereo vision systems for relative velocity measurement and lane/obstacle detection—practical solutions that make advanced sensing more accessible. His most cited paper (28 citations) demonstrates this focus on affordable yet effective vision technology. Nandi also explores the frontier of neuromorphic computing, as evidenced by his survey on spiking neural networks in computer vision (15 citations), which provides a valuable roadmap for researchers in this emerging field. Beyond perception, he tackles coordination problems in multi-robot systems, including swarm-based painting of cluttered areas and assembling robots along boundaries in the presence of obstacles. These works, while less cited, showcase his versatility in addressing real-world robotic challenges. Nandi’s research bridges theoretical advances with practical implementations, making him a notable figure in the development of cost-effective, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Spiking Neural Network in Computer Vision: Techniques, Tools and Trends15 citations · 2023
- 3
- 4Swarm-based painting of an area cluttered with obstacles5 citations · 2021
- 5