SOURCE-LINKED INTELLIGENCE
Shared Execution-Clock Drifting Policy for Dynamic Precision Manipulation
Manipulation under time constraints requires both accurate actions and an execution rhythm that matches the evolving scene. This becomes critical when a robot must intercept moving objects or complete a sequence of adjustments before a deadline. Although one-step policies reduce generation cost, their directly predicted action sequences leave temporal allocation implicit. We propose Shared Execution-Clock Drifting (SECD), which makes execution rhythm an explicit part of one-step action generation. Conditioned on an observation and a latent sample, the policy jointly predicts a progress-indexed
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-20T02:42:31.000Z
First collected: 2026-09-23T10:01:48.231Z. This is not the publication date.