ROBOTIC SOFTWARE ARCHITECTURE CHALLENGES, RESEARCH TRENDS AND KNOWLEDGE MANAGEMENT

Abstract

Robotic software is an arrangement of coded directions and guidelines that tell mechanical device and electronic framework referred, together as a robot, to facilitate and perform different daily life difficult functions. Numerous robotic software frameworks (approaches) and systems have been proposed to make the programming and development process of robots easier. Robotic Software is an Artificial intelligence (AI) framework that keeps running on a host device as opposed to as on an independent machine. Robotic software system incorporates the expert framework, virtual assistants. Computer software always faces many issues and complexities while to handle these issues robotic software framework is used. Robotic Software architecture describes specific type of rules and regulations for designer and developers that must have to follow these rules and regulations to get the expected results. This is basically an exploratory research, and focuses on the competitive analysis of robotic software architectures in terms of challenges, evolution and lessons for better visibility knowledge management of high-level design of robotic software system. The main purpose of this research study is to explore and identify the existing proposed robotic software architectures their approaches and to find out and resolve the issues of robotic environment. This research also categories and highlight these robotic software approaches according to their robotic software architecture type and domain type. This research work is an exploratory research based on Systematic Literature Review protocol used as a research methodology to comparatively analysis and classifies the existing robotic approach; also provide way to resolve the unsolved issues (challenges) in Robotic software architecture. And provide new suggestions for future work.