robotics
A Robot Split Slow Imagination From Fast Motion
LiMA cut inference latency 45.8% while coordinating long-range intent with contact-time control.
Summary
LiMA cut inference latency 45.8% while coordinating long-range intent with contact-time control.
LiMA separates a slow process that generates sparse long-horizon intent from a fast process that refines dense actions as contact changes. The authors report 45.8% lower inference latency than Cosmos-Policy and a 70.8% overall success rate across six bimanual manipulation tasks, with 78.9% average subtask success. These are results from the reported task suite, not a general claim about every dexterous robot.
Why it matters
LiMA cut inference latency 45.8% while coordinating long-range intent with contact-time control.
Limits and context
- These are results from the reported task suite, not a general claim about every dexterous robot.
Key claims
LiMA cut inference latency 45.8% while coordinating long-range intent with contact-time control.
Qualification: These are results from the reported task suite, not a general claim about every dexterous robot.
Evidence: source-2026-09-24-005
Sources
- arXiv preprint 2609.28431arXiv · primary research
Corrections
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