Automate pick-and-place 'pass the pen' tasks on a real SO-101 arm.
npx skills add https://github.com/bensonlee5/openral --skill act-so101-pen
Please help me install this Agent Skill. Skill: act-so101-pen Source: https://github.com/bensonlee5/openral/tree/main/rskills/act-so101-pen Command: npx skills add https://github.com/bensonlee5/openral --skill act-so101-pen
This Skill automates the 'pass the pen' pick-and-place operations on a real SO-101 follower arm, reducing manual labor and increasing efficiency.
To deploy the skill on a SO-101 arm, use the following command:
uv run openral deploy run --robot so101 --rskill rskills/act-so101-pen
High-intent search queries and answers about installing and using this skill.
You can automate pick and place tasks with a SO-101 arm by deploying the ACT model to control the real follower arm. This Skill handles precise joint position control for object placement.
The ACT model, or Action Chunking with Transformers, is used to automate robotic pick and place operations. It enables precise control over a real SO-101 follower arm for tasks like passing a pen.
To deploy the ACT model on a SO-101 arm, run the OpenRAL deploy command with the robot and rskill parameters specified. This initiates the automation process for the arm.
Yes, automating SO-101 arm operations requires the OpenRAL runtime for deployment and the Robometer reward monitor. These dependencies are necessary to execute and monitor the ACT model.
Yes, this ACT model automation is ideal for manufacturing or assembly lines where precise object placement is required. It automates complex pick and place operations to reduce manual labor.
Pick and place automation requires the Robometer reward monitor to evaluate the ACT model's performance. It ensures the real SO-101 follower arm executes precise object placement accurately.
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