LiftCube12: Robot Telemetry for Task Learning

60 episodes of robot telemetry data created using LeRobot. The dataset contains 27,140 frames recorded at 30 frames per second and is structured into chunks for training. It was authored by Gogul99 and last updated on June 15, 2026.

Use Cases

• Training imitation learning models based on recorded robot trajectories.
• Developing reinforcement learning policies for robotic manipulation tasks.
• Benchmarking robot control algorithms on a standardized lifting task.
• Analyzing robot state and action sequences for behavior cloning.

Strengths

• Contains 27,140 frames of telemetry data across 60 episodes.
• Recorded at a consistent 30 frames per second.
• Structured into manageable chunks of 1000 frames each.

Limitations

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

Provenance

Source

huggingface

Collection Method

Created using LeRobot.

Freshness

Last updated 2026-06-15 13:27:46; freshness should be verified.