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README: clarify target machine is separate from DP3 training A6000

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@@ -22,6 +22,11 @@ collection that ran on a dev box (RTX 5090) until the orchestrator was killed
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  to free GPU. Resume-aware orchestrator detects what's already done and only
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  collects the remaining objects.
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  **Source repo (code lives here, NOT in this dataset)**:
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  [`stzabl-png/UCB_Project @ gate3-curobo-ik`](https://github.com/stzabl-png/UCB_Project/tree/gate3-curobo-ik)
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  — specifically `sim/run_grasp_sim_baseline3_v4.py` and
 
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  to free GPU. Resume-aware orchestrator detects what's already done and only
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  collects the remaining objects.
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+ > **Intended target: a fresh A6000 dedicated to sim collection** — separate from
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+ > the A6000 currently training DP3 on `UCBProject/DP3_DexYCB_training_data`.
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+ > Install env_isaaclab from scratch on the collection machine; do NOT try to
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+ > share a conda env with the training side.
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+
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  **Source repo (code lives here, NOT in this dataset)**:
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  [`stzabl-png/UCB_Project @ gate3-curobo-ik`](https://github.com/stzabl-png/UCB_Project/tree/gate3-curobo-ik)
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  — specifically `sim/run_grasp_sim_baseline3_v4.py` and