Arindam Chakraborty

Papers

Total Citations

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About

Arindam Chakraborty is a researcher whose work bridges the fascinating worlds of robotics and bioinformatics, demonstrating a unique ability to apply engineering principles to biological challenges. His primary research areas include hyper-redundant robotics, visual perception, and the computational modeling of biomolecular structures. Chakraborty’s most notable contribution is his innovative application of hyper-redundant robot kinematics to model the complex loop structures found in RNA and DNA. This interdisciplinary approach, detailed in his 2016 paper (4 citations), offers a novel analytical solution to a long-standing problem in nucleic acid structural biology, moving beyond traditional protein-focused methods. In robotics, his 2015 work on "Visual Generalized Coordinates" (2 citations) tackles the open problem of a robot using vision to understand its own body and environment. Instead of recovering traditional configuration space parameters, he proposes deriving coordinates directly from images, offering a fresh perspective on robot self-perception. While his citation counts are modest, the conceptual boldness of his work—applying robotic theory to molecular biology and rethinking visual-motor coordination—marks him as a creative thinker pushing the boundaries of both fields.