Robotic Operating Systems (ROS) and frameworks form the backbone of modern robotics, offering modular, scalable, and efficient solutions for complex robotic development. This paper provides a detailed analysis of ROS and emerging frameworks like ROS 2 and MOOS, examining their architecture, functionalities, and applications across diverse domains. It highlights key advancements, including enhanced middleware, real-time capabilities, and AI integration, which address critical requirements in autonomous systems, industrial automation, and healthcare robotics. Empirical validation, simulated workflows, and case studies demonstrate the transformative impact of these technologies, with metrics underscoring improved performance, scalability, and security. Current challenges, such as standardization, scalability, and data security, are explored alongside actionable recommendations for middleware optimization, AI-driven robotics, and secure communication protocols. Accompanied by detailed tables, diagrams, and performance benchmarks, this study provides researchers and practitioners with a roadmap to harness the full potential of robotic frameworks in future innovations.