Andi Adrianshah

Papers

Total Citations

H-Index

About

Andi Adrianshah is a researcher advancing the field of human-robot interaction (HRI), with a focus on making service robots more intuitive and socially aware. His key research areas include non-verbal communication, neural network-based gesture recognition, and the application of robotics in service industries. His most cited work, "Non-Verbal Human-Robot Interaction Using Neural Network for The Application of Service Robot" (2023), addresses the critical challenge of enabling robots to interpret human gestures and movements without verbal cues, enhancing natural collaboration in repetitive tasks. With 5 citations, this paper underscores his contribution to developing more responsive and adaptive robotic systems. Adrianshah’s work is particularly notable for its practical implications in sectors like hospitality and healthcare, where seamless human-robot teamwork is essential. By integrating neural networks into HRI, he is helping to bridge the gap between human intent and machine action, paving the way for robots that can better understand and assist in dynamic environments. His research is a valuable resource for students and engineers exploring the future of autonomous service robotics.