Grasping tasks
8Label approach, contact, grasp and lift stages with their target objects.
PROJECT FOCUS / ROB-001
Robotics & embodied AI · Case study
Organizing tabletop manipulation into task sequences
Link visual, depth and state records across tabletop grasping, transfer and return tasks, defining action stages, object identities and observable outcomes.
← Back to case studiesDATA IN CONTEXT
24Task sequences
3Task types
8Sequences / type
THE BRIEF
Define what the data needs to support.
Build traceable sequences for manipulation understanding. Organize data by complete task and retain observable completion, failure and interruption states, connecting objects, actions and time.
- Application
- Robotics & embodied AI
- Work involved
- Data preparation, annotation, quality review and delivery
- Task focus
- Task sequences · Action segmentation · Multimodal alignment
SCENE COVERAGE
Break the scope into reviewable groups.
Transfer tasks
8Connect pickup, movement, placement and release, retaining drops and interruptions.
Return tasks
8Record start and target positions, action stages and observable outcomes.
FROM CHALLENGE TO METHOD
Connect each decision to a record.
DECISION / 01
No shared action-boundary definition
01 / THE APPROACH
Align stages using complete sequences and define observable conditions for contact, departure and release.
02 / THE REVIEW TRAILStage dictionary and boundary references
DECISION / 02
Time differences across streams
01 / THE APPROACH
Read timestamps and synchronization notes, check dropped frames and abnormal offsets, and retain unresolved association issues.
02 / THE REVIEW TRAILAlignment index and exception list
DECISION / 03
Failed segments omitted
01 / THE APPROACH
Label observable completion, failure and interruption. Keep unknown causes unknown rather than inferring internal robot states.
02 / THE REVIEW TRAILOutcome labels and supporting observations
REVIEW & HANDOVER
Review the task. Verify the delivery.
Review focus
Stage continuity
Check overlaps, gaps and ordering, documenting concurrent actions where needed.
Object consistency
Verify target identities and associations across frames and streams.
Dataset splits
Split by complete sequence and check that segments from one task do not leak across sets.
Delivery contents
- 01
Sequence & metadata index
Provide task types, objects, sensor records and coordinate conventions.
- 02
Action & association labels
Organize stage boundaries, cross-modal indexes and outcome labels.
- 03
Review & exception records
Record dropped frames, time offsets, uncertain outcomes and resolution evidence.
WHAT TO TAKE FORWARD
What matters for the next project
Define observable task stages before organizing multimodal links. Retaining failures and uncertainty is more useful than masking missing information with apparently complete labels.
MORE PROJECT PERSPECTIVES
Explore other industry cases
YOUR NEXT DATA PROJECT
Bring your task into the discussion.
To frame a similar pilot, share: Task definitions, device and sensor records, time and coordinate conventions, representative sequences and target formats.