Microrobot for Elderly Care Using Advance AI Technology

Several robot deployments for in-home help of senior citizens have been tested during the past 20 years. However, most of these ideas are still in the prototype stage and are not employed in actual situations. In this study, we examine the field's past and present to try to comprehend why robots haven't yet become successful personal helpers in daily life. The capabilities of the physical platform and the deployment logic are the two complimentary features that are the focus of our examination. The earlier research identifies six application-level capabilities by identifying regularities in hardware setups and functions (exploration, identification, remote control, communication, manipulation, and digital situatedness). The latter examines how robots affect users' daily lives and divides the use of robots in healthcare treatments into three categories: support, mitigation, and reaction. According to our research, the value of healthcare interventions is constrained by a functional standstill and a gap between the robotic platform and the intervention's design. We provide an innovative co-design toolkit that makes use of an integrated approach for robot initiatives in the healthcare industry to solve this problem. Our strategy combines robot capabilities to recognized geriatric characteristics to produce a comprehensive perspective that takes into account both the deployment's physical platform and its logic.