robotics
Natural Language Builds the Reward Machine
A language model writes the task automaton while a vision model grounds its propositions in images.
Published Updated Story ID: mp-2026-11-08-017
Summary
A language model writes the task automaton while a vision model grounds its propositions in images.
RM-VLM combines a generated reward machine, vision-language proposition grounding and a progress estimator for dense reward. It beat selected VLM reward baselines across grid navigation, manipulation and 3D collection in the reported experiments.
Why it matters
A language model writes the task automaton while a vision model grounds its propositions in images.
Limits and context
No additional limitation was separately recorded.
Key claims
A language model writes the task automaton while a vision model grounds its propositions in images.
Evidence: source-2026-11-08-019
Sources
- arXiv preprint 2611.08308, original v1arXiv · primary research
Corrections
No corrections have been recorded for this story.