B. Gopinath

Papers

Total Citations

H-Index

About

B. Gopinath is a researcher at the forefront of intelligent manufacturing and autonomous systems, with a focus on integrating cognitive digital twins and deep learning into human–robot collaboration. His most cited work, "Deep convolutional neural network object net model based cognitive digital twin for trust in human–robot collaborative manufacturing" (2024, 5 citations), introduces a novel framework that combines convolutional neural networks with digital twin technology to enhance trust and safety in collaborative manufacturing environments. This contribution addresses a critical challenge in Industry 4.0: ensuring reliable human–robot interaction. Gopinath also developed an "IoT based Smart Multi-application Surveillance Robot" (2023, 1 citation), a versatile autonomous platform designed for domestic surveillance and broader multi-application roles, reducing human error and labor. While his citation counts are still emerging, his work signals a promising trajectory in applied AI and robotics. Gopinath’s research bridges theoretical advances in deep learning with practical, real-world robotic systems, making him a notable emerging voice in cognitive manufacturing and smart automation.