Shiqi Liang

Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations

Recent end-to-end robotic manipulation research increasingly adopts architectures inspired by large language models to enable robust manipulation. However, a critical challenge arises from severe distribution shifts between robotic action data, primarily due to substantial numerical variations in ac