This paper discusses trends in technology like Artificial Intelligence and machine learning algorithms in developing intelligent robotic systems. It focuses on attribute-picking points, classification, and fuzzy rule-based decision-making in settings for robot actuation planning. The system uses a Natural Language Processing-based User Interface, cameras, and image processing modules. It proposes two new feature selection and classification algorithms, Intelligent Voice to Text Conversion and Fuzzy Temporal Rule-based Semantic Analysis Algorithm. The system also introduces three new algorithms for object detection and grasping. Robots with assistive technology may help with senior or geriatric care, but their ability to track objects, estimate motion, and estimate poses a barrier. Although researchers have suggested real-time posture estimates as a dependable option, traditional tracking techniques still highly value stance. The volume of data, extensive processing duties, and start-up all contribute to the complexity of real-time tracking. An innovative mobile robot system designed to assist has been put forth to enable elderly individuals to live longer, safer lives in their homes. The study aims to address these concerns and develop technology that meets the needs of senior citizens and geriatrics. © 2024 Elsevier B.V., All rights reserved.