V. Shijoh

Papers

Total Citations

H-Index

About

V. Shijoh is a researcher at the forefront of integrating robotics and artificial intelligence into healthcare. Their primary research focuses on the control strategies for hospital assistance robots and the application of machine learning technologies to enhance autonomous medical support systems. Shijoh’s most notable contribution is the 2021 paper "Hospital Assistance Robots Control Strategy and Machine Learning Technology," which has garnered 12 citations and serves as a foundational work in developing intelligent, responsive robotic aides for clinical environments. This research addresses critical challenges in human-robot interaction, navigation, and task execution within hospital settings, aiming to improve patient care and operational efficiency. By bridging control theory with adaptive learning algorithms, Shijoh’s work offers practical pathways for deploying robots that can assist with logistics, monitoring, and patient support. Their achievements highlight a commitment to translating complex AI and robotics concepts into real-world healthcare solutions, making their research highly relevant for students and engineers exploring the future of medical automation.