Srinath Hanumantha Rao

Nanyang Technological University, Synergy University Dubai

Papers

Total Citations

H-Index

About

Srinath Hanumantha Rao is a researcher working at the intersection of robotics, automation, and artificial intelligence, with a particular focus on developing intelligent control systems for robotic manipulators in industrial environments. His most notable contributions center on the application of Artificial Neural Networks (ANNs) to solve complex real-world automation challenges, specifically in the domain of robotic welding. Recognizing the growing demand for versatile automation solutions, Rao has tackled one of manufacturing's persistent challenges: creating generalized algorithms capable of guiding diverse robotic manipulators through precise weld line tracing tasks without human intervention. His paired 2018 publications — "Tracing a Weld Line using Artificial Neural Networks" and "Real-Time Tracing of a Weld Line using Artificial Neural Networks" — each garnering 4 citations, demonstrate his commitment to bridging theoretical AI methodologies with practical industrial applications. By advancing real-time neural network-based control for robotic arms, Rao contributes to accelerating automation adoption across production lines globally. His work addresses a critical bottleneck in smart manufacturing: enabling robots to adapt intelligently across varying manipulator configurations. While his citation profile reflects an early-stage research career, his focus on applied robotics and intelligent automation positions him within a rapidly growing and highly impactful field.