Leberkaesweckle/Dataset_UR5e_Schunk_Gripper_300_episodes_merged_multiple

robotics model by Leberkaesweckle

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X-VLA is a soft-prompted, flow-matching Vision-Language-Action framework that treats each robot or hardware setup as a "task" encoded with a small set of learnable Soft Prompt embeddings, letting a single model reconcile diverse robot morphologies, sensors, and action spaces. This policy has been trained and pushed to the Hub using LeRobot. Learn how to train and run it in the LeRobot xvla guide, or browse the full documentation. The policy consumes these observation features and produces these action features. Inputs Outputs New to LeRobot? These guides cover the full workflow: The short version to run and train this policy: Replace the remaining placeholders with your own values: --robot.port and the camera names/indices are specific to your machine, and the…

Leberkaesweckle/Dataset_UR5e_Schunk_Gripper_300_episodes_merged_multiple on Hugging Face A short preview, not the full document.

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Model overview

Leberkaesweckle/Dataset_UR5e_Schunk_Gripper_300_episodes_merged_multiple is a robotics model repository published by Leberkaesweckle on Hugging Face. The source reports the lerobot library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task: robotics
Library: lerobot
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: 879,687,256
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-11-11T06:33:37.000Z
Last modified: 2026-11-11T06:34:15.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: lerobot/xvla-base

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