LET: Full-Size Humanoid Robot Real-World Multi-Task Dataset

LejuRobotics collected this dataset using the Kuavo 4 Pro full-size humanoid robot. It covers multi-task data across multiple real-world scenarios and operation types, supporting scalable robot learning. The dataset was last updated on April 15, 2026.

Use Cases

• Training robot manipulation policies based on real-world multi-task data.
• Developing mobility algorithms for humanoid robots based on data from multiple scenarios.
• Benchmarking multi-task learning models for robotics based on real-world operation types.
• Researching human-robot interaction using multimodal data collected in real environments.

Strengths

• Data is collected from a full-size humanoid robot (Kuavo 4 Pro) in real-world environments.
• Covers multiple scenarios and operation types, suggesting diversity in tasks.
• Last updated on April 15, 2026, indicating recent maintenance.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.

Provenance

Source

LejuRobotics

Collection Method

Collected based on the full-size humanoid robot Kuavo 4 Pro.

Freshness

Last updated 2026-04-15 11:55:50