Manash Pratim Das

Jet Propulsion Laboratory, Indian Institute of Technology Kharagpur, Carnegie Mellon University

Papers

Total Citations

H-Index

About

Manash Pratim Das is a researcher whose work bridges computer vision, robotics, and mixed reality, with a focus on practical, real-world automation. His key research areas include thermal camera calibration, 3D localization for augmented reality, and robotic decision-making in industrial settings. Das’s most notable contribution is his work on online photometric calibration for automatic gain thermal infrared cameras, a breakthrough that addresses a critical challenge in using thermal imagery for robot vision, industrial inspection, and medical imaging. This paper has garnered 18 citations, reflecting its importance in enabling traditional computer vision techniques to perform reliably on thermal data. He also developed a method for joint point cloud and image-based localization using mixed-reality headsets, reducing human effort in structural inspection by accurately mapping fault locations in 3D coordinates. Additionally, Das has explored learning optimal strategies for industrial robots tasked with unloading trucks filled with boxes of varying size and mass, using minimal simulator runs to maximize efficiency. His work demonstrates a clear commitment to advancing automation and human-machine interaction, with practical applications in inspection, logistics, and beyond.