Path: Multimodal & physical AI
Review robot-action traces
Segment an action into observable steps and locate grasp, contact, motion, and safety failures.
- Starting level
- Some basics
- Time
- 28 minutes
- Public lesson guide
- EN + हिंदी
You will learn to
Segment robot behaviour and identify the first observable action failure.
Why this matters
Physical AI data must preserve timing, contact, and cause; a final failure label alone cannot teach recovery.
Three things to remember
- Split approach, grasp, lift, move, and release.
- Use synchronized views before inferring contact.
- Record the first failure and its downstream effects.
See one example
Task
A robot misses a block but continues its motion.
Weak approach
Task failed at the tray.
Stronger approach
Failure begins at grasp: fingers close beside the block; lift and transfer carry an empty gripper.
Why the stronger approach works
The earliest causal failure makes the trace useful for training and debugging.
Make something yourself
Write a five-segment pick-and-place trace with timestamps, state, and recovery action.
A useful starting pointFor each segment, write what changed and what proves it.
Practise this lessonRead further
The source is optional. The complete teaching and practice are available inside AI2Bharat.
Read the primary or official source: NVIDIA Physical AI