lerobotForScienceEdu / act_electromagnetic_80_v6

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Model's Last Updated: January 06 2026
robotics

Introduction of act_electromagnetic_80_v6

Model Details of act_electromagnetic_80_v6

Model Card for act

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 . See the full documentation at LeRobot Docs .


How to Get Started with the Model

For a complete walkthrough, see the training guide . Below is the short version on how to train and run inference/eval:

Train from scratch
lerobot-train \
  --dataset.repo_id=${HF_USER}/<dataset> \
  --policy.type=act \
  --output_dir=outputs/train/<desired_policy_repo_id> \
  --job_name=lerobot_training \
  --policy.device=cuda \
  --policy.repo_id=${HF_USER}/<desired_policy_repo_id>
  --wandb.enable=true

Writes checkpoints to outputs/train/<desired_policy_repo_id>/checkpoints/ .

Evaluate the policy/run inference
lerobot-record \
  --robot.type=so100_follower \
  --dataset.repo_id=<hf_user>/eval_<dataset> \
  --policy.path=<hf_user>/<desired_policy_repo_id> \
  --episodes=10

Prefix the dataset repo with eval_ and supply --policy.path pointing to a local or hub checkpoint.


Model Details
  • License: apache-2.0

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act_electromagnetic_80_v6 install

act_electromagnetic_80_v6 is an open source model from GitHub that offers a free installation service, and any user can find act_electromagnetic_80_v6 on GitHub to install. At the same time, huggingface.co provides the effect of act_electromagnetic_80_v6 install, users can directly use act_electromagnetic_80_v6 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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