Yassine Nasri

Institut National des Sciences Appliquées Rouen Normandie

Papers

Total Citations

H-Index

About

Yassine Nasri is a researcher specializing in autonomous systems, assistive robotics, and intelligent navigation for healthcare applications. His work focuses on developing practical solutions to improve mobility for individuals with physical disabilities, particularly through the integration of robotics and sensor technologies. His most-cited paper, "ROS-based Autonomous Navigation Wheelchair using Omnidirectional Sensor" (2016), addresses the critical challenge of enabling dependent patients with movement disabilities to control electric-powered wheelchairs more easily. By implementing autonomous navigation algorithms capable of handling both static and dynamic environments, Nasri's research demonstrates how robotic operating systems and omnidirectional sensors can transform assistive devices into intelligent, self-navigating platforms. This work contributes to the broader field of human-robot interaction and accessible technology, with the potential to significantly enhance quality of life for users. While his citation count is currently modest, his research represents an important step toward practical, real-world deployment of autonomous systems in medical assistive devices, laying groundwork for future innovations in smart wheelchair technology and inclusive robotics.