Automate pick and place actions on tabletop objects using a VLA policy.
npx skills add https://github.com/bensonlee5/openral --skill template-bensonlee5
Please help me install this Agent Skill. Skill: template Source: https://github.com/bensonlee5/openral/tree/main/rskills/template Command: npx skills add https://github.com/bensonlee5/openral --skill template-bensonlee5
This Skill automates pick and place actions on objects in tabletop scenes, reducing manual labor and increasing efficiency in tasks involving object manipulation.
Use the template skill to pick up a cube and place it in the bin on the same surface.
High-intent search queries and answers about installing and using this skill.
This template automates pick and place tasks in tabletop scenes using a Vision-Language-Action (VLA) policy. It requires OpenRAL and compatible robot hardware to execute the sorting and manipulation actions.
A Vision-Language-Action (VLA) policy is a control framework that translates visual and textual inputs into physical robotic movements. This template applies a VLA policy to automate object sorting and manipulation tasks in tabletop environments.
Yes, you need robot hardware capable of executing the actions to use OpenRAL for pick and place tasks. This template provides the software automation logic, but the physical manipulation requires a compatible robotic system.
To set up a template to sort objects by color or size on a tabletop, configure the VLA policy to recognize specific object attributes. The template then commands the robot to pick the items and place them into designated bins.
Yes, you can use this OpenRAL template for robotic assembly line automation. It is explicitly designed to apply to robotic assembly lines, sorting, and manipulation tasks within controlled tabletop environments.
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