MolmoAct LIBERO AI Skill for Advanced Dexterous Robotics
MolmoAct LIBERO AI Skill for Advanced Dexterous Robotics
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MolmoAct LIBERO AI Skill for Advanced Dexterous Robotics
MolmoAct LIBERO AI Skill for Advanced Dexterous Robotics
The MolmoAct LIBERO AI Skill leverages AllenAI's MolmoAct-7B-D-LIBERO-0812 checkpoint as a closed-loop vision-language-action (VLA) policy tailored for the dexterous pick-and-place tasks of robotic systems. This skill is specifically designed to drive a Franka Panda robotic arm within the LIBERO/robosuite OSC_POSE action space, utilizing agent view and wrist-mounted cameras for guidance.
What this skill does
- Deploys a closed-loop VLA policy using the MolmoAct LIBERO checkpoint to execute pick-and-place actions on rigid objects placed on a tabletop.
- Operates within a defined observation stream, terminating upon completion of a specified gripper cycle or reaching maximum defined observation windows.
- Communicates through an openpi websocket protocol to manage the robotic actions.
- Serves as an alternative to existing pi05-libero policies for the same task category.
Who it is for
This skill is ideal for developers and engineering teams utilizing AI coding agents such as Claude Code, Cursor, and Codex, who work with advanced robotic systems focusing on the manipulation of rigid objects.
Use cases
- Implementation in research and development projects requiring precise robotic arm manipulation on defined tasks.
- Integration into automated assembly lines where pick-and-place functions on rigid objects are essential.
- Support for machine learning teams developing and testing dexterous robotics capabilities in controlled environments.
Technical details
- Utilizes the MolmoAct LIBERO checkpoint (`allenai/MolmoAct-7B-D-LIBERO-0812`) for execution and observation encoding.
- Requires a Franka Panda robotic setup configured for the LIBERO/robosuite OSC_POSE action space.
- Operates using the openpi websocket protocol for communicating actions.
- Managed by the `gap.runtime.policy.run_policy_loop` and `PolicyExecutor` for the skill's policy deployment and execution.
Source & Licence
This package is built on open-source work published by graph-robots (graph-robots/open-robot-skills) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.
Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.
Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.
Delivery & Support
- Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
- Format: ZIP archive containing the skill files, documentation and the original licence.
- Support: support@mcpcart.com — we aim to reply within 2 business days.
- Updates: updates are included only where stated on this page.
Refunds
This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.
Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.
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