Piper Pickdrop Fooditems 101: Robot Manipulation Demonstrations

100 episodes of robot manipulation data created using the LeRobot framework. The dataset contains 120,066 video frames at 30 frames per second, split into a single training set. It was authored by DRMNmadhan and last updated on April 3, 2026.

Use Cases

• Train imitation learning models based on recorded robot manipulation episodes.
• Benchmark robot pick-and-place performance based on video and state data.
• Analyze robot arm trajectories and task execution based on the described episode structure.

Strengths

• Contains 100 distinct task demonstration episodes.
• Includes 120,066 video frames captured at 30 frames per second.
• Data was created using the LeRobot framework, suggesting a structured collection process.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset focuses on a single task, which may limit generalizability.

Provenance

Source

huggingface

Collection Method

Created using the LeRobot framework.

Time Range

null

Freshness

Last updated 2026-04-03 11:50:54; freshness should be verified.

Geography

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