Jiuzhou Lin

Keypoint-Aware RAG for Robotic Manipulation: In-Context Constraint Learning via Large-Scale Retrieval

Recent advances in robotic manipulation leverage foundation models pre-trained on internet-scale data, where keypoint-based representations have shown promising results in spatial reasoning. However, existing approaches primarily focus on zero-shot generalization or human-collected demonstrations, w