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Prangon Das is at the forefront of digital twin (DT) and robotics research, pioneering the convergence of virtual modeling with autonomous systems. His highly cited work, including the 2024 paper "Digital twin: Data exploration, architecture, implementation and future" (148 citations), establishes foundational frameworks for DT architecture and real-world deployment. Das has significantly advanced the integration of digital twins with robotics, as seen in his 2023 study "Towards next generation digital twin in robotics" (123 citations), which maps the fusion of cyber-physical systems, IoT, and AI for Industry 4.0. He also explores transformative applications in healthcare, notably through IoRT-collaborative digital twins for future surgical sectors (31 citations). Beyond DT, Das contributes to legged robot locomotion control and self-healing soft robotics, addressing next-generation mobility and resilience. His practical engineering impact is demonstrated by the design of an affordable, sensor-based autonomous firefighting robot. With over 335 total citations, Das is shaping the future of intelligent, interconnected robotic systems.