This project presents the use of a three-wheel holonomic motion drive system for medicine and food delivery to patients in hospitals. This paper analyzes the use of a gyroscope in robot heading and position control. Along with gyroscopes, the use of rotary encoders is also discussed. The encoders are used to keep track of the position of the robot while navigating.. These robots are used to supply medicines and food to patients and staff, medical equipment required by doctors and nurses, thereby optimizing communication between doctors, hospital staff members and patients and reducing the contact between healthcare staff and patients which is useful in preventing the spread of diseases through direct contact. 

This work mainly performed a detailed analysis of features as well as model selection. Using the SAVEE dataset for initial work and RAVDESS dataset for final proposed system, the proposed system uses mel-frequency cepstral coefficient with SVM for gender bias and CNNs for emotion recognition. 

paper demonstrates the simulation of a multi-purpose medical assistive robot using ROS(Robot Operating System). This intelligent robot is successfully simulated and visualized in the ROS environment. To achieve real-time autonomous motion Google Cartographer SLAM(Simultaneous Localization And Mapping) is used to generate real-time maps of unknown environments. It usually focuses on how these robots can provide assistance to health workers, customers, and organizations in different sectors of the healthcare environment.