RedFlow Turns Robot Failures Into Action-Level Corrections
The paper proposes converting failed actions into localized corrections for flow-matching vision-language-action policies.
The paper proposes converting failed actions into localized corrections for flow-matching vision-language-action policies.
An exploratory mobile-robot study reports spatial memory and action consequence reasoning from a general multimodal model.