TacO tactile sensors: choose by task, not resolution
A tactile sensor helps only when it detects the contact cue your robot can still act on. Use TacO’s task comparisons to design a local sensor trial.
Physical AI Lab
How to find where a video-to-data robot pipeline fails
A human-video pipeline can fail in reconstruction, robot grounding or policy learning. Compare clean, corrupted and model outputs under fixed downstream conditions to find the first bad handoff.
ReKep keypoint constraints: when the plan fits but the robot still fails
A low keypoint-constraint cost can hide tracking, path, collision or execution failures. Diagnose the first boundary that breaks before changing the planner.
When GELLO is worth building for robot demonstrations
A kinematically matched leader may help repeated robot demonstrations, but its value depends on the task and the calibration still required. Use a pilot to count usable episodes.
Why action encoding changes a robot world model’s forecast
The same robot command can give a world model different forecasts as an absolute target or a relative offset. Use paired inputs to test that failure before planning with it.
TEMPO and VLA temporal context: why a fresh frame can still miss motion
A fresh camera frame can still hide a target’s direction or a robot’s task phase. Use a bounded rollout check to separate missing temporal context from action delay.
Isaac Lab-Arena policy regression testing: build a versioned evaluation gate
Turn Isaac Lab-Arena Experiments, controlled variations and task metrics into a versioned policy regression gate without overstating simulation evidence.
DROID calibration repair: what corrected extrinsics can actually fix
Separate DROID camera-to-base and camera-to-camera corrections, read their quality filters, and decide which derived 3D artifacts need rebuilding.
GIFT and the action-sufficiency gap in robot policy features
GIFT tests geometry, interaction and goal supervision for robot policy features. Learn how to diagnose the missing information and separate training gains from inference changes.
Figure Index robot training data: what human video can teach
Figure Index scales human video collection, but useful robot training data still depends on filtering, labels, embodiment signals, access and evaluation.