Max Robotics — Global Service Robot Directory + US Certification

About

Sriram Narasimhan is a leading researcher at the intersection of robotics, artificial intelligence, and infrastructure inspection, with particular expertise in automated bridge assessment and prognostics-enabled decision making. His work has fundamentally advanced how engineers detect and quantify structural defects, developing end-to-end robotic inspection pipelines that combine mobile ground platforms with deep learning to identify concrete spalls and delaminations with unprecedented accuracy and repeatability. His highly cited 2020 paper on automated defect quantification (82 citations) and complementary 2019 studies on robotic data collection and automated bridge inspection (60 and 55 citations respectively) collectively demonstrate his sustained leadership in replacing subjective, manual visual assessments with rigorous, scalable automated alternatives. Beyond structural inspection, Narasimhan has made notable contributions to prognostics-enabled autonomous decision making, developing hardware robot testbeds that validate health-aware operational algorithms for aerospace applications. His more recent innovations explore human-machine collaboration through mixed reality interfaces (52 citations) and gaze-based interaction systems, reflecting a broader vision of seamlessly integrating human expertise with robotic capability. Across his career, his research has garnered over 330 citations, establishing him as a pivotal figure in intelligent infrastructure monitoring and autonomous systems engineering.