Execute pick, place, open, and close actions via a Vision-Language-Action policy on LIBERO Franka-Panda.
npx skills add https://github.com/bensonlee5/openral --skill act-libero
Please help me install this Agent Skill. Skill: act-libero Source: https://github.com/bensonlee5/openral/tree/main/rskills/act-libero Command: npx skills add https://github.com/bensonlee5/openral --skill act-libero
This Skill provides a robust Vision-Language-Action policy for robotic manipulation tasks, enabling automation of pick, place, open, and close actions on various objects.
openral sim run --config scenes/benchmark/libero_spatial.yaml --rskill rskills/act-liberoRun the Skill using the command openral sim run --config scenes/benchmark/libero_spatial.yaml --rskill rskills/act-libero.
High-intent search queries and answers about installing and using this skill.
You can automate robotic manipulation tasks using an ACT policy on HuggingFaceVLA/libero to execute pick, place, open, and close actions on specified objects within defined scenes.
The ACT policy supports the LIBERO Franka-Panda embodiment and requires RGB images alongside proprioception data as input to perform manipulation tasks.
You run robotic manipulation simulations by executing the command `openral sim run --config scenes/benchmark/libero_spatial.yaml --rskill rskills/act-libero` in your terminal.
Yes, the vision-language-action policy performs pick, place, open, and close actions on bowls, cups, drawers, and objects within the LIBERO simulation environment.
The ACT policy is specifically designed for the LIBERO Franka-Panda embodiment and requires image and proprioception data, limiting its use to compatible simulation scenes and supported object interactions.
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