Chenyi Si

VLIN-RL: A Unified Vision-Language Interpreter and Reinforcement Learning Motion Planner Framework for Robot Dynamic Tasks

Recently, with the development of Large Language Models (LLMs), Embodied AI represented by Vision-Language-Action Models (VLAs) has played a significant role in realizing the natural language interaction between humans and robots. Current VLA models can process and understand visual information and