2 papers
cs.RO2026
SA-VLA: State-aware tokenizer for improving Vision-Language-Action Models' performance
Tengyue Jiang, Chunpu Xu, Jiayue Kang +1
Discrete action tokenization provides a compact interface for autoregressive VLA policies, but accurately recovering continuous robot actions from discrete codes remains challengin…
cs.RO2026
AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing
Jisong Cai, Long Ling, Shiwei Chu +10
World-action models have emerged as a promising paradigm for robot manipulation, jointly modeling visual scene dynamics and actions to inject physical priors into policy learning.…