Indian Student Creates Autonomous AI Circuit Diagram The user is also able to see the option of voice command and can select the control mode of the wheelchair by voice or by navigation system. The interface of the mobile application can be seen in Fig. 3, left. 3.5 Navigation light system. To control the wheelchair through muscle movements and flexions, a navigation light system was incorporated. Current smart wheelchairs face a notable limitation: they often focus exclusively on either full autonomy or enhanced manual control [].This imbalance can result in inefficiencies during navigation and a lack of trust in the technology—critical factors that influence the successful adoption of these devices [].Consequently, these challenges hinder user acceptance and integration into daily On the wheelchair as shown in Fig. 2, there are two monitoring interfaces to provide feedback to users: the large screen interface and the handrail screen as depicted in Fig. 2.The screen
Electric-powered smart wheelchairs comes with added feature - viz., computers and cameras. The incorporation of a health based monitored systems based on smart wheelchairs, which was requiring less monitoring & maintenances in the wearable technology, offers a viable solution for tracking the health status of users. The methodology for the different control modes of the smart electric wheelchair includes the following approaches. 3.1 Manual Control Mode. The manual control mode of the smart electric wheelchair involves the use of a joystick remote control [].The joystick is integrated into the wheelchair, calibrated for accurate control.
PDF Autonomous navigation and obstacle avoidance in smart robotic wheelchairs Circuit Diagram
The significance of autonomous navigation and obstacle avoidance in smart robotic wheelchairs goes beyond individual mobility and accessibility. These technologies contribute to the well-being of individuals with mobility impairments, reduce caregiver burden, foster advancements in robotics and artificial intelligence, and promote This paper investigates the potential of integrating Artificial Intelligence (AI) into wheelchair navigation and control systems, specifically focusing on developing a smart wheelchair with
To address these issues, this paper proposes a Robot Operating System (ROS)-based smart wheelchair, called CoNav Chair, that incorporates a shared control navigation algorithm and obstacle avoidance to support PWD while fostering efficiency and trust between the robot and the user. Our design consists of hardware and software components. The NavChair was based on a commercial wheelchair system with the addition of a DOS-based computer system, ultrasonic sensors and an interface module interposed between the joystick and power unit . • To examine the ethical and social implications of AI-powered wheelchair technologies, including issues related to privacy, autonomy, and equitable access. • To provide recommendations for future research and development in the field of AI-powered wheelchair navigation and control, including potential areas of innovation
