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sequential_static_manipulation Expand file tree Collapse file tree Original file line number Diff line number Diff line change @@ -104,6 +104,7 @@ Parallel evaluation of the policy in multiple parallel environments is also supp
104104 .. code-block :: bash
105105
106106 python isaaclab_arena/evaluation/policy_runner.py \
107+ --viz kit \
107108 --policy_type isaaclab_arena_gr00t.policy.gr00t_closedloop_policy.Gr00tClosedloopPolicy \
108109 --policy_config_yaml_path isaaclab_arena_gr00t/policy/config/g1_locomanip_gr00t_closedloop_config.yaml \
109110 --num_steps 1200 \
Original file line number Diff line number Diff line change @@ -2,7 +2,7 @@ Closed-Loop Policy Inference and Evaluation
22-------------------------------------------
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44This workflow demonstrates running the trained GR00T N1.6 policy in closed-loop
5- and evaluating it in Arena GR1 Open Microwave Door Task environment .
5+ and evaluating it in the GR1 Sequential Pick & Place and Close Door Environment .
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77**Docker Container **: Base + GR00T (see :doc: `../imitation_learning/index ` for more details)
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