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About

Subham Agrawal is a robotics researcher whose work spans humanoid robotics, autonomous systems for hazardous environments, and bio-inspired prosthetics. His research career reflects a progressive trajectory from foundational robotics control and prosthetic design toward sophisticated autonomous and cyber-physical systems. Agrawal's most influential contribution, "Perception for Humanoid Robots" (2023, 24 citations), provides a comprehensive examination of multimodal perception strategies that enable robots to interact safely and effectively with humans. Complementing this, his work on autonomous robotic ecosystems for nuclear environments (19 citations) and multimodal digital twin platforms for nuclear robot fleets (18 citations) demonstrates a strong commitment to deploying intelligent robotic systems in safety-critical, real-world settings where human exposure to radiation must be minimized. Earlier in his career, Agrawal made meaningful contributions to assistive technology, investigating bio-inspired knee joint hardware (12 citations) and developing robotic test rigs for evaluating prosthetic joints (6 citations), with machine learning applied to socket design optimization. His more recent work on pedestrian-robot interaction modeling signals a growing interest in human-robot coexistence in dynamic environments. With a citation profile spanning rehabilitation engineering, nuclear robotics, and humanoid perception, Agrawal's interdisciplinary research is making a tangible impact across multiple frontiers of modern robotics.