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Description
A sample dataset from ExylosAi provides synchronized data for bimanual robot manipulation on a tabletop spill cleanup task. It includes dual-arm state trajectories, seven RGB camera streams, depth maps, segmentation masks, object poses, phase annotations, and a cleanup success metric. The dataset was last updated on May 17, 2026.
Use Cases
Training imitation learning models based on synchronized dual-arm Panda state and action trajectories.
Developing computer vision models for scene understanding using the seven RGB camera streams and per-frame depth maps.
Evaluating segmentation algorithms on per-frame segmentation masks for objects and spills.
Benchmarking robotic task performance using the objective cleanup success metric based on remaining spill fraction.
Analyzing task phases and temporal structure in manipulation using the provided phase annotations.
Strengths
Includes multiple synchronized data modalities: RGB video, depth, segmentation, poses, and robot state.
Provides an objective performance metric (cleanup success based on remaining spill fraction).
Contains phase annotations for temporal task analysis.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Row count is unknown, which may limit suitability assessment.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
ExylosAi via Hugging Face
Freshness
Last updated 2026-05-17 17:13:15; freshness should be verified.
License is unknown; terms of use must be verified before application.