Robot learning is being judged by labels, contact, timing, and task context
Robot learning papers in this period tie model gains to deployable constraints: reliable labels, contact control, latency, and task-specific grounding.
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Robot Manipulation Deployment Checks
Robot manipulation teams can make three concrete changes with current evidence: score demonstration labels by physical interaction signals, add fixed-latency decoding tests before deploying autoregressive VLA policies…