Collecting Children's Toys¶
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
Not in this run: not among the 30 chosen for the first round (2026-09-26): mostly particles, cutting and liquids, or long tidy-ups like chosen ones
Task instruction (upstream)
Pick up the two dice from the bed, the two teddy bears from the floor, and the two board games (one from the desk and one from the bed), and place them all inside the same bookcase in the child's room.
Measured on the stack we run — BEHAVIOR-1K v3.9.2 / OmniGibson 3.9.2 / Isaac Sim 5.1
| Goal predicates | inside |
| Quantifiers | exists forall |
| Goal clauses | 1 |
| Objects named in the goal | board_game.n.01 bookcase.n.01 die.n.01 teddy.n.01 train_set.n.01 |
| Objects in the problem | 13 in 9 categories |
| Rooms loaded | childs_room_0 childs_room_1 childs_room_2 corridor_0 dining_room_0 entryway_0 garden_0 |
| Demonstrations | 200 teleoperated episodes |
| Mean episode | 10m 40s (19,186 control steps at 30 Hz) |
| Base travel, mean | 58.4 m |
| Gripper travel, mean | left 24.15 m · right 25.81 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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