Sumanta Laha
Papers
1
Total Citations
9
H-Index
1
About
Sumanta Laha is a researcher at the intersection of advanced robotics, computer vision, and retail automation. His work focuses on developing intelligent systems that enhance operational efficiency in large-scale retail environments, particularly through the integration of robotic platforms with visual analytics. His most-cited paper, "Combination of Advanced Robotics and Computer Vision for Shelf Analytics in a Retail Store" (2017, 9 citations), addresses a critical challenge in retail operations: maintaining product availability on shelves. Laha’s contribution lies in designing a robotic system that autonomously navigates store aisles, captures shelf images, and applies computer vision algorithms to detect stock levels and identify out-of-stock or misplaced items. This work not only reduces the manual burden on store associates but also provides real-time inventory insights, improving supply chain responsiveness. By combining hardware and software innovations, Laha has laid foundational groundwork for the next generation of smart retail environments. His research is particularly valuable for students and practitioners interested in applied AI, human-robot collaboration, and the practical deployment of autonomous systems in dynamic, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1