Robotic cooking can alter both home and commercial kitchens by automating and improving a variety of cooking operations. The incorporation of modern technology, such as robot manipulation, computer vision, deep learning, modal sensors, and other machine learning techniques, allows these robots to perform difficult culinary operations with accuracy and consistency. However, several challenges still exist in adapting robotic systems to the diverse tools and techniques used in cooking. Robots need to use a wide array of kitchen tools designed for humans, such as knives, spatulas, and whisks. This requires not only the ability to grasp and manipulate these tools but also the adaptability to switch between them efficiently and use them correctly in different cooking contexts. This paper reviews the latest developments in robotic cooking platforms, examining their design, performance, and public perception. It also covers various technologies critical for building robotic chefs, categorizing these advancements into need and importance, emerging technologies, different techniques, and future challenges. Furthermore, it addresses the technical and practical obstacles that currently hinder their widespread implementation.