Development of Intelligent EWC with Autonomous and Interactive Behavior

With the increase of the world’s aging phenomenon and the improvement of modern technology, intelligent wheelchairs have emerged as promising assistive equipment to enhance the mobility and independence of people with physical disabilities. This project aims to provide a safe, reliable, and user-friendly means of mobility for wheelchair users in indoor environments. Specifically, our group created an intelligent wheelchair system based on ROS, with integrated map building, navigation, and voice control functions. In this paper, the author seeks to facilitate autonomous navigation technology into electronically powered wheelchairs by integrating SLAM and speech recognition with sensors such as LiDAR, rotary encoders, and microphones. The project has been verified in the indoor environment, and the result demonstrated that our functions are trustable and reliable.