Debarshi Brahma
Papers
2
Total Citations
10
H-Index
1
About
Debarshi Brahma is a robotics researcher focused on advancing human-robot interaction through innovative computer vision techniques. His primary research areas include vision-based sensing, template matching algorithms, and autonomous robot navigation in human-coexisting environments. Brahma's most significant contribution is the development of the Color Fast Affine Template Matching algorithm, an improvement upon the Fast-Match algorithm that preserves critical color information often lost in greyscale conversion. This work, published in 2022, has garnered 9 citations for its practical application in shoe detection for human-robot coexisting environments. His subsequent research introduces a superpixel augmented density-based clustering approach for people-following robots, addressing the challenge of tracking target shoes under various transformations including scale changes and rotations. Brahma's work is particularly notable for its real-world applicability in leader-follower modules, where robust visual tracking is essential for safe human-robot collaboration. His research demonstrates a clear trajectory from fundamental algorithm development to applied robotic systems, making valuable contributions to the growing field of socially aware robotics and human-robot coexistence.
Research Focus
Key Achievements
Top Papers
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- 2