We delved into an article examining the current state of robotics and its integration with learning-based components: "The Convergence of Classical and Learning-Based Robotics". The article captured our interest because the surge in integrating LLMs, VLMs, foundation models, and Nerfs into robotics promises remarkable progress in areas like natural language understanding, high-level planning, and improved perception modules. Yet, challenges persist, especially in the "lower-level" aspects of robotics, emphasizing the need for robust solutions in novel scenarios.