Pick Place3 20260706 142028: Robot Arm Pick-and-Place Actions

A dataset of robot arm actions created using the LeRobot framework. The data includes 6-dimensional action vectors for joint positions, recorded at 30 frames per second. The dataset was authored by HuuKhang2212 and uploaded to Hugging Face on July 6, 2026.

Use Cases

• Training reinforcement learning agents for robotic manipulation based on recorded action sequences.
• Developing inverse kinematics models based on joint position data.
• Benchmarking imitation learning algorithms on pick-and-place tasks.
• Analyzing robot arm motion trajectories for efficiency or safety.

Strengths

• Action data is structured with a defined shape (6) and data type (float32).
• The recording frame rate of 30 fps is specified, providing temporal context.

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

Hugging Face user HuuKhang2212.

Collection Method

Created using the LeRobot framework.

Freshness

Last updated 2026-07-06 07:31:34; freshness should be verified.