Multi Embodiment Robot Manipulation Benchmark Data

RoboMIND is a benchmark dataset for multi-embodiment intelligence in robot manipulation, accepted by Robotics: Science and Systems (RSS) 2025. The collection includes version V2.0, accessible on the ModelScope platform.

Use Cases

• Benchmark robot manipulation performance across different robot embodiments using the multi-embodiment intelligence framework.
• Train and evaluate multimodal models for robotic tasks leveraging the dataset's multimodal tags.
• Analyze normative data patterns for robot manipulation within the RoboMIND benchmarking structure.

Strengths

• Dataset is associated with a peer-reviewed conference, Robotics: Science and Systems (RSS) 2025.
• Includes a major updated release, V2.0, indicating active maintenance.

Limitations

• Core descriptive metrics like row count, column names, and file size are unknown.
• The dataset description is incomplete, requiring users to visit an external page for full details.

Provenance

Source

x-humanoid-robomind on Hugging Face

Freshness

Last updated on 2026-01-04.