Robotic Framework

Robotic frameworks are software architectures designed to streamline the development and deployment of robotic systems, aiming to improve efficiency and robustness in complex tasks. Current research emphasizes integrating advanced models like Large Language Models (LLMs) and Vision-Language Models (VLMs) to enable robots to understand and respond to abstract instructions, handle uncertainties, and perform complex manipulations in dynamic environments. This work is significant because it pushes the boundaries of robot autonomy, leading to more adaptable and capable robots for applications ranging from assistive technologies to industrial automation.