
nuPlan: Planning Data Requires More Than Logged Motion
A decision-focused review of closed-loop planning scenes and metrics: what the evidence can support, where teams can over-read it, and how to validate the next move.
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Research, practical guidance and original analysis from Grasp.

A decision-focused review of closed-loop planning scenes and metrics: what the evidence can support, where teams can over-read it, and how to validate the next move.

A decision-focused review of simulated trajectories in challenging conditions: what the evidence can support, where teams can over-read it, and how to validate the next move.

A decision-focused review of egocentric RGB-D interaction sequences: what the evidence can support, where teams can over-read it, and how to validate the next move.

A decision-focused review of large-scale open 3D assets: what the evidence can support, where teams can over-read it, and how to validate the next move.

A decision-focused review of RGB-D scans and semantic scene labels: what the evidence can support, where teams can over-read it, and how to validate the next move.

A practical dataset profile for deciding when aerial detection and tracking data transfers to your problem—and when it does not.
A decision-focused review of simulated household activities and environments: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of lifelong manipulation task suites: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of simulation tasks and demonstrations: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of vision-guided manipulation tasks: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of language-conditioned long-horizon manipulation: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of cross-embodiment robot datasets: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of distributed real-world manipulation demonstrations: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of diverse robot manipulation trajectories: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of shared robotic interaction data: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of human-object interaction video clips: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of egocentric action and object annotations: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of large-scale egocentric video tasks: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of long-tail video tracking annotations: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of pedestrian tracking sequences and metrics: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of road-structure and scene-topology annotations: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of point-level driving-scene semantics: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of sequence-level point-cloud segmentation: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of camera and LiDAR driving sequences: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of automotive camera, point-cloud and semantic labels: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of globally sourced street-level segmentation: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of fine urban scene segmentation labels: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of road video with multitask annotations: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of sensor, map and motion-forecasting data: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of large-scale perception and motion collections: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of camera, radar, LiDAR, map and vehicle-state records: what the evidence can support, where teams can over-read it, and how to validate the next move.
A decision-focused review of synchronized stereo, LiDAR and road-scene benchmarks: what the evidence can support, where teams can over-read it, and how to validate the next move.