Eight tasks.

Retrieve a specified item from a densely populated shelf containing visually similar distractors. Adversarial confounders, paraphrased instructions, drifting lighting between rollouts.

Receive a paraphrased natural-language instruction (5 mutations per rollout, mixed languages) and fold a deformable object accordingly. Probes language grounding and instruction robustness.

Plan and execute a 9-step assembly: open dispensers, portion, plate, garnish, serve. Composite long-horizon — maps directly to VLABench Track-6 (where SR for π0-Fast peaks at 1.6%).

Pour granular media into a vessel while an adversarial human nudges the workspace. Online replanning, force-aware control, recovery from contact failure.

Manipulate fragile transparent items absent from training distribution. Camera-pose, lighting, and object-mesh perturbations sweep the VLATest fuzzing operators.

Two arms — one human, one robotic — collaborate to pass and assemble pieces. Intent inference, timing, dynamic affordance, safety envelope under shared workspace.

Navigate an unmapped office to fetch an object specified only by referring expression ("the blue mug Maria left near the window"). Spatial language + memory-driven exploration.

Intended tool is missing. Reach the goal using a non-canonical substitute (a ruler in place of a spatula). Tests creative reuse and physical-law reasoning.