Design and Development of Robots for Medical Assistance

Abstract

In this chapter, artificially intelligent assistive robotics for medical applications have been discussed. The voice identification, object identification, grasping, feature selection, and classification by the assisted robots can be demonstrated by the Fuzzy Temporal Rule-based Semantic Analysis algorithm (FTRSAA) and intelligent techniques. The image processing and machine learning techniques using a vision camera can be applied in assistive robot programming for the voice and object recognition, graphing, and tracking of objects have been performed by machine learning techniques. The algorithms suggested for grabbing objects, such as image segmentation, RoI extraction, and classification, are thus explained. Machine vision connected to gripping three things has been explored.