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Pick Orange Object

pendingeasycooking_table——unowned

Agent runs

Each mode of this task runs once per run. Est. cost is tokens at list price (data/prices.yml), never a bill; see the RoboLab runs for every task of a run.

Codex + GPT-6 Luna, reasoning xhigh (ChatGPT login)default run

TrialStartedAgent timeModel requestsTokens in / outEst. costGrade
U✓ 33m09-28 01:4433m794.7M / 35k$0.077deterministic 1, grader_error 0, instance_exact 1, instance_ok 1, n_actions 104, video_rendered 1
L✓ 41m09-29 05:0441m1139.8M / 80k$0.158deterministic 1, grader_error 0, live_success 1, n_actions 799, replay_success 1, video_rendered 1

Task instruction (upstream)

Pick up the orange measuring cup

cooking_table scene
No oracle video published upstream — this is the scene it starts from.
What RoboLab states about this task
Success predicate object_picked_up
Predicate arguments object: measuring_cups_1 · surface: table
Scored subtasks 1
Subtask predicates Subtask
Objects redonion serving_bowl clay_plates wooden_spoons spatula storage_box tomato_sauce_can measuring_cups_1 pink_spaghetti_spoon spoon_1 green_serving_spoon storage_box_01 ladle wooden_bowl potato_masher
Upstream attributes color
Upstream difficulty simple
Episode budget 60 s
Other wordings vague — Pick up orange-colored thing
specific — Identify and pick up the orange-colored object from the cooking area
Environment class PickOrangeObjectTask
Upstream name PickOrangeObjectTask
Defined in robolab/tasks/benchmark/cooking_orange_object.py

From https://github.com/NVlabs/RoboLab @ v0.3.1.

Tags

Task DomainManipulation

Skill primitives in the demo: color

Why this task is interesting

Not yet written.

Capability notes

Not yet written.

Oracle demo review

Not yet reviewed.

Discussion