Individuals with Severe Speech and Motor Impairment (SSMI) struggle to interact with their surroundings due to physical and communicative limitations. To address these challenges, this paper presents a gaze-controlled robotic system that helps SSMI users perform stamp printing tasks. The system includes gaze-controlled interfaces and a robotic arm with a gripper, designed specifically for SSMI users to enhance accessibility and interaction. User studies with gazecontrolled interfaces such as video see-through (VST), video pass-through (VPT), and optical see-through (OST) displays demonstrated the system's effectiveness. Results showed that VST had the average stamping time of$28.45 s(SD = 15.44s)$and the average stamp count$7.36(SD = 3.83)$, outperforming VPT and OST.

Healthcare robotics has emerged as an innovative system with vast potential across various domains. This paper explores the development and application of collaborative robots for teleoperation, which facilitate safe and remote medical general examinations of patients. The study aims to help medical staff to provide vital sign check-ups remotely using legacy medical devices. We proposed an immersive media tool that was integrated with augmented reality (AR) and virtual reality (VR) interfaces to enhance the reach of medical professionals for vital signs check-ups. The medical cobot was teleoperated through AR and VR interfaces. A qualitative user study was used to compare the AR and VR interface systems within the loop of healthcare professionals.

Recent advancements in the field of robotics offers new promises for people with different range of abilities although making a human robot interface for people with severe disabilities is challenging. This paper describes the design and development of an eye gaze controlled interface for users with severe speech and motor impairment to manipulate a robotic arm. Two user studies were reported on pick and drop and reachability studies involving users with severe speech and motor impairment. Using the eye gaze controlled interface users could undertake representative pick and drop task at an average duration less than 15 secs and reach a randomly designated target within 60 secs.