Model: pepijn223/my_policy20
Author: pepijn223
Pipeline: robotics
Library: lerobot
Tags: lerobot, safetensors, robotics, act, dataset:imstevenpmwork/thanos_picking_power_gem_1749731584242992, arxiv:2304.13705, license:apache-2.0, region:us
Card metadata: datasets: imstevenpmwork/thanos_picking_power_gem_1749731584242992
library_name: lerobot
license: apache-2.0
model_name: act
pipeline_tag: robotics
tags: robotics, act
model_summary: [Action Chunking with Transformers (ACT)](https://huggingface.co/papers/2304.13705) is a imitation-learning method that, predicts short action chunks instead of single steps. It learns from tele-operated data and often achieves high success rates.
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Created: 2025-06-25 07:31:59