Biswajit Brahma

Papers

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About

Biswajit Brahma’s research lies at the intersection of autonomous systems and smart manufacturing, with a primary focus on advancing real-time object detection for robotics and shaping the foundational principles of Industry 4.0. His most-cited work, a 2025 comparative analysis of YOLO models for autonomous robots (9 citations), provides a critical benchmark for optimizing lightweight, high-speed detection architectures—directly enabling more reliable perception in dynamic environments. In his 2024 exploration of Industry 4.0 design principles and technologies (4 citations), Brahma systematically dissects core tenets like interoperability and information transparency, highlighting blockchain’s role in securing decentralized data integrity. These contributions bridge practical algorithm development with the broader infrastructure of the Fourth Industrial Revolution, offering both engineers and strategists actionable insights. Brahma’s work is particularly notable for its dual impact: it equips roboticists with deployable detection solutions while clarifying the technological pillars that underpin next-generation factories. His research continues to influence how autonomous agents perceive their surroundings and how manufacturing ecosystems achieve seamless, secure communication—a dual legacy that positions him as a thoughtful contributor to both applied AI and industrial innovation.