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Clean Up Broken Glass

pendingmediumrestaurant_dinerCorridor, Dining Room4m 46sunowned

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 BEHAVIOR-1K runs for every task of a run.

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

TrialStartedAgent timeModel requestsTokens in / outEst. costGrade
U✓ 1h 34m09-27 06:031h 34m17224.3M / 89k$0.314deterministic 1, grader_error 0, instance_exact 0, instance_ok 1, n_actions 3949, video_rendered 1
L✗ 4h 00m 0%09-27 11:034h 00m49563.7M / 255k$0.847deterministic 1, grader_error 0, live_success 0, n_actions 12958, replay_success 0, video_rendered 1

No instruction published upstream

The 2025 carryover tasks ship without instruction text. Watch the demo and write the goal in your own words below, clearly marked as a reconstruction rather than the official goal.

Measured on the stack we run — BEHAVIOR-1K v3.9.2 / OmniGibson 3.9.2 / Isaac Sim 5.1
Goal predicates inside
Quantifiers forall
Goal clauses 1
Objects named in the goal ashcan.n.01 broken__glass.n.01
Objects in the problem 7 in 4 categories
Rooms loaded dining_room_0 corridor_0 bar_0 kitchen_0 bathroom_0
Demonstrations 200 teleoperated episodes
Mean episode 4m 50s (8,691 control steps at 30 Hz)
Base travel, mean 29.12 m
Gripper travel, mean left 14.65 m · right 13.51 m
Evaluation instances 20 public test instances (ids 301–320)

Read from BDDL activity definitions + 2026-challenge-task-instances (licensed download), 2026-09-21.

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Why this task is interesting

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Oracle demo review

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