HABIT: Human-Aware Robot Manipulation Demonstration Dataset

HABIT is a large-scale robot demonstration dataset designed for human-present environments. The dataset, created by configinc, is intended to teach robot policies human-aware behaviors. It was last updated on July 1, 2026.

Use Cases

• Training robot policies for human-aware behaviors based on the described demonstration data.
• Developing vision-language-action models for robot manipulation in human-present environments.
• Researching human-robot interaction and safe cohabitation based on the dataset's focus.

Strengths

• Dataset is described as 'large-scale', suggesting substantial size.
• Specifically designed for the niche of human-aware robot behavior in human-present environments.

Limitations

• Row count, file formats, and column-level documentation are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

configinc via Hugging Face

Collection Method

Likely contains robot demonstration recordings, though the specific collection method is not detailed.

Freshness

Last updated 2026-07-01 13:57:58; freshness should be verified.