A massive growth in the modernize population, because of disabled people, patients after surgery those whom cannot have ability to move and even wash themselves. Tied on their own bed, has created many problems including the need for massage service and convenient healthcare to help patients body relax and shampoo themselves which reduce medical care staff, otherwise, most of them feel inferior when someone touches their head when they are sick or having dermatological problem. In this paper, on-going projects related to essential technology for reducing work force and overcrowding in Vietnamese hospital are discussed. We propose robotic autonomous scalp massage and shampoo combine with traditional Vietnamese’s acupuncture massage to aid in resolving problems that people suffering from bed sick are experiencing, reports on design, service personalization and deployment of an assistive robot to support elderly people, disabled and patients with scalp care. Levenberg-Marquardt algorithm in artificial neural network are applied to train from collected acupuncture points to give the best trajectories following patient’s symptoms, analyzed for diagnosing and evaluating hairy scalp issues for the neural network input variables associated with body values such as height, weight, age or race which plays an important role in the composition of the multi-layer perceptron. The experimented and analyzed from multi-modal data collection of the first ever longitudinal field trials from patients throughout each experiment, indoor environments demonstrate by people with unmovable needs care. From the experiments, it indicates the ability of combining the mechanical system with 2-DOFs, human scalp massages by water jets with trajectories predicted by machine learning based on physical factors to meet the desired position on human scalp, providing enhanced resilience to being treated patients.