miccinn/act-so101_test_20260920_141425

robotics model by miccinn

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Action Chunking with Transformers (ACT) is an imitation-learning method that predicts short action chunks instead of single steps. It learns from teleoperated data and often achieves high success rates. This policy has been trained and pushed to the Hub using LeRobot. Learn how to train and run it in the LeRobot act 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…

miccinn/act-so101_test_20260920_141425 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-20T08:13:42.244Z

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Model overview

miccinn/act-so101_test_20260920_141425 is a robotics model repository published by miccinn 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: 51,668,614
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-09-20T06:08:31.000Z
Last modified: 2026-09-20T06:08:39.000Z

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