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Use Cases

Real tasks from
real homes.

Our task library focuses on goal-driven household activities—the everyday behaviors that robots need to learn for practical deployment.

Active

Kitchen & Cooking

Dishwasher loading/unloading, meal prep, utensil handling, appliance operation.

Dishwasher load/unloadTable settingFood prepAppliance use
Active

Laundry & Fabric

Folding, sorting, washing machine operation, ironing. Deformable object manipulation.

Clothes foldingLaundry sortingMachine operationHanging clothes
Active

Home Organization

Cabinet organization, shelf arrangement, drawer sorting. Spatial reasoning tasks.

Cabinet organizingShelf arrangementDrawer sortingItem placement
Expanding

Indoor Navigation

Room-to-room movement, door operation, obstacle avoidance.

Room navigationDoor openingCarrying objectsPath planning
Expanding

Tool Use

Cleaning tools, basic repairs, everyday implements.

Sweeping/moppingBasic repairsCleaning toolsImplement use

Our Focus

Intent over
micro-motion.

We prioritize goal-driven tasks where intent matters more than exact motion trajectories. This creates data that's more useful for learning generalizable behaviors rather than memorizing specific movements.

Focus on what to do, not just how
Natural variation in execution
Real environmental constraints
Authentic task completion patterns

Task Selection Criteria

1
Frequency

Common household activities performed daily

2
Complexity

Multi-step, goal-oriented task chains

3
Variation

Natural differences in execution style

4
Applicability

Direct relevance to robotic deployment

Need specific tasks?

Our task library is expanding. Contact us to discuss custom task requirements or priority collection for your use case.