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The Industrial Revolution 4.0 has produced a wide range of innovative possibilities for the employment of artificial intelligence and computer-guided devices in rehabilitation. In recent times, medical field has shown a keen interest in Human-Robot Interventions (HRI) due to their application in treatment and rehabilitation of various diseases. Social robots are designed to interact with people in a manner that is consistent with human social psychology because of their capacity to elicit social and emotional responses from users. They work in a human-centric environment by speaking, moving, making gestures, or utilizing facial expressions to communicate with their users while adhering to a set of social norms. We outline some intriguing possibilities for social robots in healthcare-related applications in this chapter. Some of these include treatment of social anxiety, dementia, autism spectrum disorder, depression, alzheimer's disease, anorexia nervosa, neurodevelopmental issues, cancer, diabetes and upper limb rehabilitation after stroke.

Learning is a complex and continuous process or phenomena. Learning processes or phenomena include the acquisition of new calculative or declarative knowledge, the development of motor and cognitive skills through instruction or practice, the organization of new knowledge into general, effective representations, and the discovery of new facts and theories through observation and experimentation. When interpreting learner responses, AI algorithm is useful for psychometrics analysis. The success of today's technology-enhanced learning may be boosted by socializing the material and learning resources to every learner, hence maximizing the learning process. Psychometric analysis entails insinuating what a learner understands and can perform in the real world based on minimal observation is supported in a state testing setting. Evaluation, from the perspective of learning analytics, comprises evaluating reports shows in digital educational experiences to evaluate learners' behaviour with the purpose of favorably affecting the learning process.

In this paper, Swastik molded fractal radio wire has been proposed which works on L, C and X bands.The proposed antenna is a novel fractal shaped designed antenna which is designed with 3 numbers of iterations after applying Giuseppe geometry and also fed with microstrip feed line technique. Simulation is carried out by using HFSS (Version13). FR4 glass epoxy material is utilized for substrate with relative permittivity 4.4. This proposed antenna is simulated and fabricated, simulated antenna operates at six distinguished resonant frequencies (1.818GHz, 4.636GHz, 5.818GHz, 6.909GHz, 7.727GHz, 9.636GHz), whereas fabricated antenna operates at four resonant frequencies (2.122GHz, 7.79GHz, 7.99GHz, 9.99GHz). The designed simulated antenna shows maximum Reflection coefficient of -25.9446dB and the maximum gain is 9.440dB, whereas fabricated antenna shows maximum Reflection coefficient of -15.33dB. Designed antenna can be used in Wi Max, High speed wireless communications and Satellite Communication.