Kai Sun

Knowledge-augmented embodied exploration for robotic grasping in constrained environments

To eliminate the inherent biases in decision-making of large language models (LLMs), a multi-source knowledge fusion module is introduced to generate more reasonable exploration sequences and to achieve a better balance between the accuracy and efficiency of the grasping detection network.