AI-Driven Solutions for Autonomous Wheelchair Navigation: A Comprehensive Study

The integration of Artificial Intelligence (AI) into assistive technologies has significantly enhanced the autonomy and quality of life for individuals with mobility impairments. This paper presents a comprehensive study on the application of AI in autonomous wheelchair navigation systems. By leveraging advanced machine learning algorithms, sensor fusion techniques, and computer vision, AI-assisted wheelchairs can perceive their surroundings, make intelligent decisions, and navigate complex environments with minimal user intervention. The study explores key AI methodologies including path planning, obstacle avoidance, environment mapping, and user intention recognition. Furthermore, it analyses the performance of different AI models and sensor configurations in real-world and simulated environments. Emphasis is placed on safety, adaptability, and user-friendliness of the system. The findings suggest that AI-powered navigation not only enhances mobility and independence but also contributes to safer and more efficient wheelchair operation. This research underlines the potential of AI to revolutionize assistive mobility devices and sets the foundation for future innovations in smart healthcare solutions.